Patent Grant
8909532
1. Field of the Invention
The field of the invention is data processing, or, more specifically, methods, apparatus, and products for supporting multi-lingual user interaction with a multimodal application.
2. Description of Related Art
User interaction with applications running on small devices through a keyboard or stylus has become increasingly limited and cumbersome as those devices have become increasingly smaller. In particular, small handheld devices like mobile phones and PDAs serve many functions and contain sufficient processing power to support user interaction through multimodal access, that is, by interaction in non-voice modes as well as voice mode. Devices which support multimodal access combine multiple user input modes or channels in the same interaction allowing a user to interact with the applications on the device simultaneously through multiple input modes or channels. The methods of input include speech recognition, keyboard, touch screen, stylus, mouse, handwriting, and others. Multimodal input often makes using a small device easier.
Multimodal applications are often formed by sets of markup documents served up by web servers for display on multimodal browsers. A ‘multimodal browser,’ as the term is used in this specification, generally means a web browser capable of receiving multimodal input and interacting with users with multimodal output, where modes of the multimodal input and output include at least a speech mode. Multimodal browsers typically render web pages written in XHTML+Voice (‘X+V’). X+V provides a markup language that enables users to interact with an multimodal application often running on a server through spoken dialog in addition to traditional means of input such as keyboard strokes and mouse pointer action. Visual markup tells a multimodal browser what the user interface is look like and how it is to behave when the user types, points, or clicks. Similarly, voice markup tells a multimodal browser what to do when the user speaks to it. For visual markup, the multimodal browser uses a graphics engine; for voice markup, the multimodal browser uses a speech engine. X+V adds spoken interaction to standard web content by integrating XHTML (eXtensible Hypertext Markup Language) and speech recognition vocabularies supported by VoiceXML. For visual markup, X+V includes the XHTML standard. For voice markup, X+V includes a subset of VoiceXML. For synchronizing the VoiceXML elements with corresponding visual interface elements, X+V uses events. XHTML includes voice modules that support speech synthesis, speech dialogs, command and control, and speech grammars. Voice handlers can be attached to XHTML elements and respond to specific events. Voice interaction features are integrated with XHTML and can consequently be used directly within XHTML content.
In addition to X+V, multimodal applications also may be implemented with Speech Application Tags (‘SALT’). SALT is a markup language developed by the Salt Forum. Both X+V and SALT are markup languages for creating applications that use voice input/speech recognition and voice output/speech synthesis. Both SALT applications and X+V applications use underlying speech recognition and synthesis technologies or ‘speech engines’ to do the work of recognizing and generating human speech. As markup languages, both X+V and SALT provide markup-based programming environments for using speech engines in an application's user interface. Both languages have language elements, markup tags, that specify what the speech-recognition engine should listen for and what the synthesis engine should ‘say.’ Whereas X+V combines XHTML, VoiceXML, and the XML Events standards to create multimodal applications, SALT does not provide a standard visual markup language or eventing model. Rather, it is a low-level set of tags for specifying voice interaction that can be embedded into other environments. In addition to X+V and SALT, multimodal applications may be implemented in Java with a Java speech framework, in C++, for example, and with other technologies and in other environments as well.
Current multimodal applications typically provide user interaction in only a single language. When a software architect desires to provide user interaction in more than one language, the software architect often writes a multimodal application for each language separately and provides a menu interface to a user that permits the user to select the language that the user prefers. Upon receiving the user's selection of a language preference, the menu interface routes the user to the multimodal application written in the language corresponding to the user's language preference. The drawback to such a system is that having multiple versions of the same multimodal application in various languages increases complexity, which invites errors and additional costs into the system. Furthermore, the menu interface in current systems reduces flexibility and requires the user to manually select the user's language preference. As such, readers will appreciate that room for improvement exists in supporting multi-lingual user interaction with a multimodal application.
Methods, apparatus, and products are disclosed for supporting multi-lingual user interaction with a multimodal application, the application including a plurality of VoiceXML dialogs, each dialog characterized by a particular language, supporting multi-lingual user interaction implemented with a plurality of speech engines, each speech engine having a grammar and characterized by a language corresponding to one of the dialogs, with the application operating on a multimodal device supporting multiple modes of interaction including a voice mode and one or more non-voice modes, the application operatively coupled to the speech engines through a VoiceXML interpreter, the VoiceXML interpreter: receiving a voice utterance from a user; determining in parallel, using the speech engines, recognition results for each dialog in dependence upon the voice utterance and the grammar for each speech engine; administering the recognition results for the dialogs; and selecting a language for user interaction in dependence upon the administered recognition results.
The foregoing and other objects, features and advantages of the invention will be apparent from the following more particular descriptions of exemplary embodiments of the invention as illustrated in the accompanying drawings wherein like reference numbers generally represent like parts of exemplary embodiments of the invention.
Exemplary methods, apparatus, and products for supporting multi-lingual user interaction with a multimodal application according to embodiments of the present invention are described with reference to the accompanying drawings, beginning with
Supporting multi-lingual user interaction with a multimodal application in this example is implemented with a multimodal application (195) operating in a multimodal browser (196) on a multimodal device (152). The multimodal device (152) supports multiple modes of interaction including a voice mode and one or more non-voice modes of user interaction with the multimodal application (195). The voice mode is represented here with audio output of voice prompts and responses (177) from the multimodal devices and audio input of speech for recognition (315) from a user (128). Non-voice modes are represented by input/output devices such as keyboards and display screens on the multimodal devices (152). The multimodal application (195) is operatively coupled to a plurality of speech engines (153) through a VoiceXML interpreter (192). The operative coupling may be implemented with an application programming interface (‘API’), a voice service module, or a VOIP connection as explained more detail below.
Supporting multi-lingual user interaction with a multimodal application (195) is implemented with a grammar of the multimodal application (195) in each of a plurality of speech engines (153). Each grammar communicates to its corresponding speech engine (153) the words and sequences of words that currently may be recognized. Each grammar is implemented in a particular language to support multi-lingual user interaction with the multimodal application (195). Each grammar includes grammar rules that advise a speech engine or a voice interpreter which words and word sequences presently can be recognized. Grammars for use according to embodiments of the present invention may be expressed in any format supported by an speech engine, including, for example, the Java Speech Grammar Format (‘JSGF’), the format of the W3C Speech Recognition Grammar Specification (‘SRGS’), the Augmented Backus-Naur Format (‘ABNF’) from the IETF's RFC2234, in the form of a stochastic grammar as described in the W3C's Stochastic Language Models (N-Gram) Specification, and in other grammar formats as may occur to those of skill in the art. Grammars typically operate as elements of dialogs, such as, for example, a VoiceXML <menu> or an X+V <form>. A grammar's definition may be expressed in-line in a dialog. Or the grammar may be implemented externally in a separate grammar document and referenced from with a dialog with a URI. Here is an example of a grammar expressed in JSFG:
In this example, the elements named <command>, <name>, and <when> are rules of the grammar. Rules are a combination of a rulename and an expansion of a rule that advises a speech engine or a VoiceXML interpreter which words presently can be recognized. In the example above, rule expansions includes conjunction and disjunction, and the vertical bars ‘|’ mean ‘or.’ A speech engine or a VoiceXML interpreter processes the rules in sequence, first <command>, then <name>, then <when>. The <command> rule accepts for recognition ‘call’ or ‘phone’ or ‘telephone’ plus, that is, in conjunction with, whatever is returned from the <name> rule and the <when> rule. The <name> rule accepts ‘bob’ or ‘martha’ or ‘joe’ or ‘pete’ or ‘chris’ or ‘john’ or ‘artoush’ or ‘tom,’ and the <when> rule accepts ‘today’ or ‘this afternoon’ or ‘tomorrow’ or ‘next week.’ The command grammar as a whole matches utterances like these, for example:
As mentioned above, the multimodal application (196) operates in the multimodal browser (196), which provides an execution environment for the multimodal application (195). To support the multimodal browser (196) in processing the multimodal application (195), the system of
The VoiceXML interpreter (192) of
A multimodal device on which a multimodal application operates is an automated device, that is, automated computing machinery or a computer program running on an automated device, that is capable of accepting from users more than one mode of input, keyboard, mouse, stylus, and so on, including speech input—and also providing more than one mode of output such as, graphic, speech, and so on. A multimodal device is generally capable of accepting speech input from a user, digitizing the speech, and providing digitized speech to a speech engine for recognition. A multimodal device may be implemented, for example, as a voice-enabled browser on a laptop, a voice browser on a telephone handset, an online game implemented with Java on a personal computer, and with other combinations of hardware and software as may occur to those of skill in the art. Because multimodal applications may be implemented in markup languages (X+V, SALT), object-oriented languages (Java, C++), procedural languages (the C programming language), and in other kinds of computer languages as may occur to those of skill in the art, a multimodal application may refer to any software application, server-oriented or client-oriented, thin client or thick client, that administers more than one mode of input and more than one mode of output, typically including visual and speech modes.
The system of
Each of the example multimodal devices (152) in the system of
and the Internet Draft entitled
the IETF provides standard RTP payload formats for various codecs. It is useful to note, therefore, that there is no limitation in the present invention regarding codecs, payload formats, or packet structures. Speech for supporting multi-lingual user interaction with a multimodal application according to embodiments of the present invention may be encoded with any codec, including, for example:
As mentioned above, supporting multi-lingual user interaction with a multimodal application (195) according to embodiments of the present invention is implemented with a plurality of speech engine (153), each speech engine (153) having a grammar and characterized by a language corresponding to one of the VoiceXML dialogs (121). Each speech engine (153) of
A multimodal application (195) in this example provides speech for recognition and text for speech synthesis to a speech engine through the VoiceXML interpreter (192). As shown in
The VoiceXML interpreter (192) provides grammars, speech for recognition, and text prompts for speech synthesis to the speech engines (153), and the VoiceXML interpreter (192) returns to the multimodal application output from the speech engines (153) in the form of recognized speech, semantic interpretation results, and digitized speech for voice prompts. In a thin client architecture, the VoiceXML interpreter (192) is located remotely from the multimodal client device in a voice server (151), the API for the VoiceXML interpreter is still implemented in the multimodal device (152), with the API modified to communicate voice dialog instructions, speech for recognition, and text and voice prompts to and from the VoiceXML interpreter on the voice server (151). For ease of explanation, only one (107) of the multimodal devices (152) in the system of
The use of these four exemplary multimodal devices (152) is for explanation only, not for limitation of the invention. Any automated computing machinery capable of accepting speech from a user, providing the speech digitized to an ASR engine through a VoiceXML interpreter, and receiving and playing speech prompts and responses from the VoiceXML interpreter may be improved to function as a multimodal device according to embodiments of the present invention.
The system of
The system of
The system of
The arrangement of the multimodal devices (152), the web server (147), the voice server (151), and the data communications network (100) making up the exemplary system illustrated in
Supporting multi-lingual user interaction with a multimodal application according to embodiments of the present invention in a thin client architecture may be implemented with one or more voice servers, computers, that is, automated computing machinery, that provide speech recognition and speech synthesis. For further explanation, therefore,
Stored in RAM (168) is a voice server application (188), a module of computer program instructions capable of operating a voice server in a system that is configured to order recognition results produced by an ASR engine for a multimodal application according to embodiments of the present invention. Voice server application (188) provides voice recognition services for multimodal devices by accepting requests for speech recognition and returning speech recognition results, including text representing recognized speech, text for use as variable values in dialogs, and text as string representations of scripts for semantic interpretation. Voice server application (188) also includes computer program instructions that provide text-to-speech (‘TTS’) conversion for voice prompts and voice responses to user input in multimodal applications such as, for example, X+V applications, SALT applications, or Java Speech applications. Voice server application (188) may be implemented as a web server, implemented in Java, C++, or another language, that supports supporting multi-lingual user interaction with a multimodal application according embodiments of the present invention.
The voice server (151) in this example includes a plurality of speech engines (153). A speech engine is a functional module, typically a software module, although it may include specialized hardware also, that does the work of recognizing and synthesizing human speech. Each speech engine (153) includes an automated speech recognition (‘ASR’) engine (150) for speech recognition and a text-to-speech (‘TTS’) engine (194) for generating speech. Each TTS engine (194) is a module of computer program instructions that accepts text as input and returns the same text in the form of digitally encoded speech, for use in providing speech as prompts for and responses to users of multimodal systems. Each speech engine (153) also includes a grammar (104), a lexicon (106), and a language-specific acoustic model (108). The language-specific acoustic model (108) is a data structure, a table or database, for example, that associates Speech Feature Vectors with phonemes representing, to the extent that it is practically feasible to do so, all pronunciations of all the words in a human language. The lexicon (106) is an association of words in text form with phonemes representing pronunciations of each word; the lexicon effectively identifies words that are capable of recognition by an ASR engine. Using a grammar, a lexicon, and an acoustic model tailored to a particular language or language dialect, each speech engine (153) is characterized by a language corresponding to one of the VoiceXML dialogs (121) processed by the VoiceXML interpreter (192).
The voice server application (188) in this example is configured to receive, from a multimodal client located remotely across a network from the voice server, digitized speech for recognition from a user and pass the speech along to the ASR engines (150) for recognition. The ASR engines (150) are modules of computer program instructions, also stored in RAM in this example. In carrying out supporting multi-lingual user interaction with a multimodal application, the ASR engines (150) receives speech for recognition in the form of at least one digitized word and uses frequency components of the digitized word to derive a Speech Feature Vector (‘SFV’). An SFV may be defined, for example, by the first twelve or thirteen Fourier or frequency domain components of a sample of digitized speech. The ASR engines can use the derived SFV to infer phonemes for the word from their respective language-specific acoustic models (108). The ASR engines then use the phonemes to find the word in their respective lexicons (106).
In the example of
The VoiceXML interpreter (192) of
Also stored in RAM (168) is an operating system (154). Operating systems useful in voice servers according to embodiments of the present invention include UNIX™, Linux™, Microsoft NT™, IBM's AIX™, IBM's i5/OS™, and others as will occur to those of skill in the art. Operating system (154), voice server application (188), VoiceXML interpreter (192), speech engines (153), including ASR engines (150), and TTS engines (194) in the example of
Voice server (151) of
Voice server (151) of
The example voice server of
The exemplary voice server (151) of
For further explanation,
The multimodal device (152) supports multiple modes of interaction including a voice mode and one or more non-voice modes. The example multimodal device (152) of
In addition to the multimodal sever application (188), the voice server (151) also has installed upon it a plurality of speech engine (153), each speech engine (153) having an ASR engine, a grammar, a lexicon, a language-specific acoustic model, and a TTS engine, as well as a Voice XML interpreter (192) that includes a form interpretation algorithm (193) for each dialog (121) received from the multimodal application (195). The VoiceXML interpreter (192) interprets and executes each VoiceXML dialog (121) received from the multimodal application (195) and provided to VoiceXML interpreter (192) through the voice server application (188). VoiceXML input to VoiceXML interpreter (192) may originate from the multimodal application (195) implemented as an X+V client running remotely in a multimodal browser (196) on the multimodal device (152). The VoiceXML interpreter (192) administers such dialogs by processing the dialogs (121) in accordance with VoiceXML Form Interpretation Algorithms (193). In the example of
VOIP stands for ‘Voice Over Internet Protocol,’ a generic term for routing speech over an IP-based data communications network. The speech data flows over a general-purpose packet-switched data communications network, instead of traditional dedicated, circuit-switched voice transmission lines. Protocols used to carry voice signals over the IP data communications network are commonly referred to as ‘Voice over IP’ or ‘VOIP’ protocols. VOIP traffic may be deployed on any IP data communications network, including data communications networks lacking a connection to the rest of the Internet, for instance on a private building-wide local area data communications network or ‘LAN.’
Many protocols are used to effect VOIP. The two most popular types of VOIP are effected with the IETF's Session Initiation Protocol (‘SIP’) and the ITU's protocol known as ‘H.323.’ SIP clients use TCP and UDP port 5060 to connect to SIP servers. SIP itself is used to set up and tear down calls for speech transmission. VOIP with SIP then uses RTP for transmitting the actual encoded speech. Similarly, H.323 is an umbrella recommendation from the standards branch of the International Telecommunications Union that defines protocols to provide audio-visual communication sessions on any packet data communications network.
The apparatus of
Voice server application (188) provides voice recognition services for multimodal devices by accepting dialog instructions, VoiceXML segments, and returning speech recognition results, including text representing recognized speech, text for use as variable values in dialogs, and output from execution of semantic interpretation scripts—as well as voice prompts. Voice server application (188) includes computer program instructions that provide text-to-speech (‘TTS’) conversion for voice prompts and voice responses to user input in multimodal applications providing responses to HTTP requests from multimodal browsers running on multimodal devices.
The voice server application (188) receives speech for recognition from a user and passes the speech through API calls to VoiceXML interpreter (192) which in turn uses ASR engines in the speech engines (153) for speech recognition. An ASR engine receives digitized speech for recognition, uses frequency components of the digitized speech to derive an SFV, uses the SFV to infer phonemes for the word from a language-specific acoustic model, and uses the phonemes to find the speech in a lexicon specific to the particular speech engine (153). The ASR engine then compares speech found as words in the lexicon to words in one of the grammars (104) received from the multimodal application (195) to determine whether words or phrases in speech are recognized by the ASR engine.
The multimodal application (195) is operatively coupled to the speech engines (153) through the VoiceXML interpreter (192). In this example, the operative coupling to the speech engines (153) through a VoiceXML interpreter (192) is implemented with a VOIP connection (216) through a voice services module (130). The voice services module (130) is a thin layer of functionality, a module of computer program instructions, that presents an API (316) for use by an application level program in providing dialogs (121) and speech for recognition to a VoiceXML interpreter and receiving in response voice prompts and other responses, including action identifiers according to embodiments of the present invention. The VoiceXML interpreter (192), in turn, utilizes the speech engines (153) for speech recognition and generation services, each speech engine (153) having at least one of the grammars (104) and characterized by a language corresponding to one of the VoiceXML dialogs (121).
The VoiceXML interpreter (192) of
In the example of
Supporting multi-lingual user interaction with a multimodal application according to embodiments of the present invention in thick client architectures is generally implemented with multimodal devices, that is, automated computing machinery or computers. In the system of
The example multimodal device (152) of
The speech engine (153) in this kind of embodiment, a thick client architecture, often is implemented as an embedded module in a small form factor device such as a handheld device, a mobile phone, PDA, and the like. An example of an embedded speech engine useful for supporting multi-lingual user interaction with a multimodal application according to embodiments of the present invention is IBM's Embedded ViaVoice Enterprise. The example multimodal device of
Also stored in RAM (168) in this example is a multimodal application (195), a module of computer program instructions capable of operating a multimodal device as an apparatus that supports multi-lingual user interaction with a multimodal application according to embodiments of the present invention. The multimodal application (195) includes a plurality of VoiceXML dialogs (121), each VoiceXML dialog (121) characterized by a particular language. The multimodal application (195) also includes a plurality of grammars (104), each grammar (104) characterized by a language corresponding to a language used in one of the dialogs (121). The multimodal application (195) of
More particularly, the multimodal application (195) in this example is a user-level, multimodal, client-side computer program that provides a speech interface through which a user may provide oral speech for recognition through microphone (176), have the speech digitized through an audio amplifier (185) and a coder/decoder (‘codec’) (183) of a sound card (174) and provide the digitized speech for recognition to ASR engines (150). The multimodal application (195) may be implemented as a set or sequence of X+V pages (124) executing in a multimodal browser (196) or microbrowser that passes VoiceXML grammars and digitized speech by calls through a VoiceXML interpreter API directly to an embedded VoiceXML interpreter (192) for processing. The embedded VoiceXML interpreter (192) may in turn issue requests for speech recognition through API calls directly to the embedded ASR engines (150). Multimodal application (195) also can provide speech synthesis, TTS conversion, by API calls to the embedded TTS engines (194) for voice prompts and voice responses to user input.
The multimodal application (195) is operatively coupled to the speech engines (153) through a VoiceXML interpreter (192). In this example, the operative coupling through the VoiceXML interpreter is implemented using a VoiceXML interpreter API (316). The VoiceXML interpreter API (316) is a module of computer program instructions for use by an application level program in providing dialog instructions, speech for recognition, and other input to a VoiceXML interpreter and receiving in response voice prompts and other responses. The VoiceXML interpreter API presents the same application interface as is presented by the API of the voice service module (130 on
The VoiceXML interpreter (192) of
The multimodal application (195) in this example, running in a multimodal browser (196) on a multimodal device (152) that contains its own VoiceXML interpreter (192) and its own speech engines (153) with no network or VOIP connection to a remote voice server containing a remote VoiceXML interpreter or a remote speech engine, is an example of a so-called ‘thick client architecture,’ so-called because all of the functionality for processing voice mode interactions between a user and the multimodal application—as well as all or most of the functionality for supporting multi-lingual user interaction with a multimodal application according to embodiments of the present invention—is implemented on the multimodal device itself.
For further explanation,
In the example of
The multimodal application is operatively coupled to a plurality of speech engines through a VoiceXML interpreter (192), each speech engine having a grammar (104) and characterized by a language corresponding to one of the VoiceXML dialogs (121). The operative coupling provides a data communications path from the multimodal application (195) to the speech engines for grammars (104), speech for recognition, and other input. The operative coupling also provides a data communications path from the speech engines to the multimodal application (195) for recognized speech, semantic interpretation results, and other results. The operative coupling may be effected with a VoiceXML interpreter (192 on
The method of
The exemplary segment above includes two dialogs, the first dialog identified as ‘kiosk-en’ and the second dialog identified as ‘kiosk-fr.’ The first dialog is characterized by the English language and specifies a prompt in English as “Do you want directions to a restaurant, theater, or museum?” The second dialog is characterized by the French language and specifies the same prompt in French as “Voulez-vous trouver un restaurant, un théâtre, ou un musée?” Readers will note that the exemplary dialogs and exemplary prompts above are for explanation and not for limitation.
Prompting (500), by the VoiceXML interpreter (192), a user for a voice utterance (508) according to the method of
As mentioned above, the VoiceXML interpreter (192) instantiates a Form Interpretation Algorithm for each dialog (121) and processing each dialog (121) in parallel. The multimodal application may instruct the VoiceXML interpreter (192) to process each dialog (121) in parallel using XML Event listeners. XML Event listeners map the occurrence of defined events to particular actions to be performed when the defined event occurs. XML Event listeners are described in detail in the XML Events specifications promulgated by the W3C organization. For an example of XML Event listeners useful in instructing the VoiceXML interpreter (192) to process each dialog (121) in parallel, consider again the exemplary multimodal application above. The following segment of the exemplary multimodal application illustrates XML Event listeners:
The exemplary segment above includes two XML Event listeners. Each event listener listens for a ‘load’ event of the <body> element in the multimodal application. The first event listener specifies processing the ‘kiosk-en’ dialog illustrated above when the <body> element is loaded. The second event listener specifies processing the ‘kiosk-fr’ dialog illustrated above when the <body> element is loaded. In this manner, when the <body> element is loaded, the VoiceXML interpreter (192) processes both the ‘kiosk-en’ dialog and the ‘kiosk-fr’ dialog. As mentioned above, the VoiceXML interpreter (192) processes each dialog in a separate form interpretation algorithm.
The method of
Supporting multi-lingual user interaction with a multimodal application (124) according to the method of
The source attribute ‘src’ specifics the URI of the definition of the exemplary grammar. Although the above example illustrates how a grammar may be referenced externally, a grammar's definition may also be expressed in-line in a multimodal application. Consider again, the exemplary multimodal applications above. The following segment of the exemplary multimodal application illustrates grammars expressed in-line in each dialogue:
Each dialog of in the exemplary multimodal application segment above defines a grammar useful in recognizing responses to the prompt in each dialog. The grammar for the first dialog allows for recognition of English phrases such as: ‘Show me restaurants,’ ‘theaters,’ ‘Show museums,’ and so on. The grammar for the second dialog allows for recognition of French phrases such as: ‘montrez-moi les restaurants,’ ‘théâtres,’ ‘montrez-moi musées,’ and so on. The VoiceXML interpreter (192) provides the grammar in each dialog to a speech engine capable of recognizing the speech in the language corresponding to the grammar.
The method of
The method of
The VoiceXML interpreter (192) may select (518) the recognition results (514) for one of the VoiceXML dialogs (121) for further processing according to the method of
In addition to using confidence levels, the VoiceXML interpreter (192) may select the recognition results (514) for the VoiceXML dialogs (121) characterized by the same language as the voice utterance (508) using ‘match’ and ‘no match’ events from the speech engine. A ‘match’ event indicates that a particular speech engine was able to find a match using the voice utterance, while a ‘no match’ event indicates that a particular speech engine was not able to find a match using the voice utterance. The recognition results (514) from the speech engine raises a ‘match’ event may be identified as the administered recognition results (522). Typically, a speech engine will not typically be able to find a match, and thus recognition results, if the speech engine is not configured to recognize speech of the same language as the voice utterance (508). In contrast, however, speech engine will typically be able to find a match, and thus recognition results, if the speech engine is configured to recognize speech of the same language as the voice utterance (508).
As mentioned above, the VoiceXML interpreter (192) of
When the VoiceXML interpreter (192) stores the recognition results in an ECMAScript field variable array for a field specified in the multimodal application (195), the recognition results (514) may be stored in field variable array using shadow variables similar to the application variable ‘application.lastresult$.’ For example, a field variable array may represent a possible recognition result through the following shadow variables:
where ‘name$’ is a placeholder for the field identifier for a field in the multimodal application (195) specified to store the results of the recognition results (506). Using either the application variable ‘application.lastresult$’ or some other field variable as mentioned above, the VoiceXML interpreter (192) may select the recognition results returned by one of the speech engines for one of the dialogs to provide the multimodal application with access to the recognition results characterized by the same language as the voice utterance.
As mentioned above, the VoiceXML interpreter (192) may administer (516) the recognition results (514) for the VoiceXML dialogs (121) according to the method of
In the example above, the shadow variable ‘lang’ stores a language identifier such as, for example, ‘American English,’ ‘French,’ ‘Spanish,’ ‘German,’ and so on. Using the shadow variable ‘lang,’ the VoiceXML interpreter (192) may store all the recognition results for each speech engine and dialog (121) along with a language identifier indicating which language characterizes a particular recognition result (514). Using either the shadow variable ‘lang,’ the VoiceXML interpreter (192) may combine the recognition results for each VoiceXML dialog (121) together to provide the multimodal application with access to all the recognition results regardless of the language of the recognition results. All the administered recognition results (522) represented in the ‘application.lastresult$’ array may be ordered first by the language identifier and then ordered second by the confidence level. Readers will note, however, that such ordering is for explanation and not for limitation.
The method of
The exemplary multimodal application segment includes two XML events that may be activated by the VoiceXML interpreter (192)—the ‘answer.en-us’ event and the ‘answer.fr-fr’ event. The ‘answer.en-us’ event is an XML event that is activated when the VoiceXML interpreter (192) obtains administered recognition results (514) for the ‘kiosk-en’ dialog. The ‘answer.fr-fr’ event is an XML event that is activated when the VoiceXML interpreter (192) obtains administered recognition results (514) for the ‘kiosk-fr’ dialog.
To further understand how the VoiceXML interpreter (192) activates an XML event (528), readers will note that each exemplary event, ‘answer.en-us’ and ‘answer.fr-fr,’ are contained in the VoiceXML <filled> elements, which are in turn contained in VoiceXML <field> elements. Each of the exemplary <filled> elements above is only executed by the VoiceXML interpreter (192) when the VoiceXML interpreter (192) is able to fill the field specified by the parent <field> element with a value. For example, the VoiceXML interpreter (192) will execute the ‘<vxml:throw event=“answer.en-us”/>’ action to activate the ‘answer.en-us’ event when the field ‘kiosk’ of the ‘kiosk-en’ dialog is filled with a value from the recognition result ‘application.lastresult$.’ The VoiceXML interpreter (192), however, may only fill the ‘kiosk’ field of the ‘kiosk-en’ dialog with a value from the recognition result ‘application.lastresult$’ when the VoiceXML interpreter (192) selects the recognition results for the ‘kiosk-en’ dialog for further processing. Similarly, the VoiceXML interpreter (192) will execute the ‘<vxml:throw event=“answer.fr-fr”/>’ action to activate the ‘answer.fr-fr’ event when the field ‘kiosk’ of the ‘kiosk-fr’ dialog is filled with a value from the recognition result ‘application.lastresult$.’ The VoiceXML interpreter (192), however, may only fill the ‘kiosk’ field of the ‘kiosk-fr’ dialog with a value from the recognition result ‘application.lastresult$’ when the VoiceXML interpreter (192) selects the recognition results for the ‘kiosk-fr’ dialog for further processing. If the VoiceXML interpreter (192) combines all the recognition results for ‘kiosk-en’ and ‘kiosk-fr’ dialogs together, then the VoiceXML interpreter (192) may rely on addition scripting logic in the <filled> elements to select a language for user interaction using the confidence levels of the recognition results.
When the VoiceXML interpreter (192) activates (526) an XML event (528) in the exemplary multimodal application segment above, either the ‘answer.en-us’ event or the ‘answer.fr-fr’ event is activated. These events provide the author of a multimodal application with ability to change the behavior of the multimodal application depending on the language selected for user interaction. The author is afforded this ability because each event updates user interaction attributes of the DOM representing the multimodal application (195). For example, in the exemplary multimodal application described above, visual elements are tagged with Cascading Style Sheet (‘CSS’) class name attributes indicating each visual elements language. Consider the following segment of the exemplary multimodal application:
The exemplary segment above includes two visual elements implemented with the <h2> tag. The first <h2> element is tagged with a CSS class name attribute having a value of ‘en-us.’ The second <h2> element is tagged with a CSS class name attribute having a value of ‘en-fr.’
Activating either the ‘answer.en-us’ event or the ‘answer.fr-fr’ event toggles the visual display of the exemplary <h2> visual elements above by updating user interaction attributes of the DOM representing <h2> visual elements of the multimodal application (195). For example, activing the ‘answer.en-us’ event instructs the VoiceXML interpreter (192) to execute an exemplary ECMAScript script containing the following instructions:
which update the DOM representing the multimodal application (195) to indicate that the visual elements having a class name attribute value of ‘en-us’ are displayed and that the visual elements having a class name attribute value of ‘fr-fr’ are hidden. Similarly, activing the ‘answer.fr-fr’ event instructs the VoiceXML interpreter (192) to execute an exemplary ECMAScript script containing the following instructions:
which update the DOM representing the multimodal application (195) to indicate that the visual elements having a class name attribute value of ‘fr-fr’ are displayed and that the visual elements having a class name attribute value of ‘en-us’ are hidden.
Definitions of the exemplary ‘display-lang’ function that specify instructions for updating user interaction attributes of a Document Object Model representing the multimodal application (195) may include the following exemplary definition:
The exemplary definition for the exemplary ‘display-lang’ function above provides instructions to traverse each element of the DOM for a page of a multimodal application and set the display style attribute either ‘inline’ or ‘none’ based on the values of the ‘lang’ parameter and the ‘on’ parameter. Readers will note that such an exemplary definition is for explanation and not for limitation. The exemplary ‘display-lang’ function above provides the VoiceXML Interpreter (192) with the ability to active an XML event (528) that updates user interaction attributes of a DOM representing the multimodal application (195), and thereby selects a language for user interaction.
Exemplary embodiments of the present invention are described largely in the context of a fully functional computer system for supporting multi-lingual user interaction with a multimodal application. Readers of skill in the art will recognize, however, that the present invention also may be embodied in a computer program product disposed on signal bearing media for use with any suitable data processing system. Such signal bearing media may be transmission media or recordable media for machine-readable information, including magnetic media, optical media, or other suitable media. Examples of recordable media include magnetic disks in hard drives or diskettes, compact disks for optical drives, magnetic tape, and others as will occur to those of skill in the art. Examples of transmission media include telephone networks for voice communications and digital data communications networks such as, for example, Ethernets™ and networks that communicate with the Internet Protocol and the World Wide Web. Persons skilled in the art will immediately recognize that any computer system having suitable programming means will be capable of executing the steps of the method of the invention as embodied in a program product. Persons skilled in the art will recognize immediately that, although some of the exemplary embodiments described in this specification are oriented to software installed and executing on computer hardware, nevertheless, alternative embodiments implemented as firmware or as hardware are well within the scope of the present invention.
It will be understood from the foregoing description that modifications and changes may be made in various embodiments of the present invention without departing from its true spirit. The descriptions in this specification are for purposes of illustration only and are not to be construed in a limiting sense. The scope of the present invention is limited only by the language of the following claims.
| Number | Name | Date | Kind |
|---|---|---|---|
| 5577165 | Takebayashi et al. | Nov 1996 | A |
| 5584052 | Galau et al. | Dec 1996 | A |
| 5794218 | Jennings et al. | Aug 1998 | A |
| 5969717 | Ikemoto | Oct 1999 | A |
| 6208972 | Grant et al. | Mar 2001 | B1 |
| 6243375 | Speicher | Jun 2001 | B1 |
| 6275806 | Pertrushin | Aug 2001 | B1 |
| 6301560 | Masters | Oct 2001 | B1 |
| 6513011 | Uwakubo | Jan 2003 | B1 |
| 6606599 | Grant et al. | Aug 2003 | B2 |
| 6701293 | Bennett et al. | Mar 2004 | B2 |
| 6801604 | Maes et al. | Oct 2004 | B2 |
| 6856960 | Dragosh et al. | Feb 2005 | B1 |
| 6920425 | Will et al. | Jul 2005 | B1 |
| 6999930 | Roberts et al. | Feb 2006 | B1 |
| 7035805 | Miller | Apr 2006 | B1 |
| 7072984 | Polonsky et al. | Jul 2006 | B1 |
| 7142661 | Erhart et al. | Nov 2006 | B2 |
| 7150399 | Barrus et al. | Dec 2006 | B2 |
| 7171243 | Watanabe et al. | Jan 2007 | B2 |
| 7171361 | Thomas et al. | Jan 2007 | B2 |
| 7188067 | Grant et al. | Mar 2007 | B2 |
| 7330890 | Partovi et al. | Feb 2008 | B1 |
| 7376586 | Partovi et al. | May 2008 | B1 |
| 7487085 | Cross | Feb 2009 | B2 |
| 20020065944 | Hickey et al. | May 2002 | A1 |
| 20020092019 | Marcus | Jul 2002 | A1 |
| 20020099553 | Brittan et al. | Jul 2002 | A1 |
| 20020120554 | Vega | Aug 2002 | A1 |
| 20020147593 | Lewis et al. | Oct 2002 | A1 |
| 20020184610 | Chong et al. | Dec 2002 | A1 |
| 20030039341 | Burg et al. | Feb 2003 | A1 |
| 20030046316 | Gergic et al. | Mar 2003 | A1 |
| 20030046346 | Mumick et al. | Mar 2003 | A1 |
| 20030101451 | Bentolila et al. | May 2003 | A1 |
| 20030125945 | Doyle | Jul 2003 | A1 |
| 20030179865 | Stillman et al. | Sep 2003 | A1 |
| 20030182622 | Sibal et al. | Sep 2003 | A1 |
| 20030195739 | Washio | Oct 2003 | A1 |
| 20030217161 | Balasuriya | Nov 2003 | A1 |
| 20030229900 | Reisman | Dec 2003 | A1 |
| 20030235282 | Sichelman et al. | Dec 2003 | A1 |
| 20040019487 | Kleindienst et al. | Jan 2004 | A1 |
| 20040025115 | Sienel et al. | Feb 2004 | A1 |
| 20040031058 | Reisman | Feb 2004 | A1 |
| 20040044516 | Kennewick et al. | Mar 2004 | A1 |
| 20040049390 | Brittan et al. | Mar 2004 | A1 |
| 20040059705 | Wittke et al. | Mar 2004 | A1 |
| 20040083109 | Halonen et al. | Apr 2004 | A1 |
| 20040120472 | Popay et al. | Jun 2004 | A1 |
| 20040120476 | Harrison et al. | Jun 2004 | A1 |
| 20040138890 | Ferrans et al. | Jul 2004 | A1 |
| 20040153323 | Charney et al. | Aug 2004 | A1 |
| 20040179038 | Blattner et al. | Sep 2004 | A1 |
| 20040216036 | Chu et al. | Oct 2004 | A1 |
| 20040236574 | Ativanichayaphong | Nov 2004 | A1 |
| 20040260562 | Kijirai | Dec 2004 | A1 |
| 20050075884 | Badt | Apr 2005 | A1 |
| 20050091059 | Lecoeuche | Apr 2005 | A1 |
| 20050131701 | Cross | Jun 2005 | A1 |
| 20050138219 | Boughannam et al. | Jun 2005 | A1 |
| 20050138647 | Boughannam et al. | Jun 2005 | A1 |
| 20050154580 | Horowitz et al. | Jul 2005 | A1 |
| 20050160461 | Baumgartner et al. | Jul 2005 | A1 |
| 20050188412 | Dacosta | Aug 2005 | A1 |
| 20050203729 | Roth et al. | Sep 2005 | A1 |
| 20050203747 | Lecoeuche | Sep 2005 | A1 |
| 20050261908 | Cross | Nov 2005 | A1 |
| 20050273769 | Eichenberger | Dec 2005 | A1 |
| 20050283367 | Cross | Dec 2005 | A1 |
| 20060047510 | Cross | Mar 2006 | A1 |
| 20060064302 | Cross | Mar 2006 | A1 |
| 20060069564 | Allison et al. | Mar 2006 | A1 |
| 20060074680 | Cross | Apr 2006 | A1 |
| 20060075120 | Smit | Apr 2006 | A1 |
| 20060111906 | Cross | May 2006 | A1 |
| 20060122836 | Cross | Jun 2006 | A1 |
| 20060123358 | Lee et al. | Jun 2006 | A1 |
| 20060136220 | Gurram et al. | Jun 2006 | A1 |
| 20060136222 | Cross | Jun 2006 | A1 |
| 20060146728 | Engelsma et al. | Jul 2006 | A1 |
| 20060168095 | Sharma et al. | Jul 2006 | A1 |
| 20060168595 | McArdle | Jul 2006 | A1 |
| 20060184626 | Agapi | Aug 2006 | A1 |
| 20060190264 | Jaramillo | Aug 2006 | A1 |
| 20060218039 | Johnson | Sep 2006 | A1 |
| 20060229880 | White | Oct 2006 | A1 |
| 20060235694 | Cross | Oct 2006 | A1 |
| 20060287845 | Cross et al. | Dec 2006 | A1 |
| 20060287865 | Cross et al. | Dec 2006 | A1 |
| 20060287866 | Cross et al. | Dec 2006 | A1 |
| 20060288309 | Cross et al. | Dec 2006 | A1 |
| 20070265851 | Cross et al. | Nov 2007 | A1 |
| 20070274296 | Cross et al. | Nov 2007 | A1 |
| 20070274297 | Cross et al. | Nov 2007 | A1 |
| 20070288241 | Cross et al. | Dec 2007 | A1 |
| 20070294084 | Cross | Dec 2007 | A1 |
| 20080065386 | Cross et al. | Mar 2008 | A1 |
| 20080065387 | Cross et al. | Mar 2008 | A1 |
| 20080065388 | Cross et al. | Mar 2008 | A1 |
| 20080065389 | Cross et al. | Mar 2008 | A1 |
| 20080065390 | Ativanichayaphong et al. | Mar 2008 | A1 |
| 20080086564 | Putman et al. | Apr 2008 | A1 |
| 20080140410 | Cross et al. | Jun 2008 | A1 |
| 20080162136 | Ativanichayaphong et al. | Jul 2008 | A1 |
| 20080177530 | Cross et al. | Jul 2008 | A1 |
| 20080195393 | Cross et al. | Aug 2008 | A1 |
| 20080208584 | Cross et al. | Aug 2008 | A1 |
| 20080208585 | Ativanichayaphong et al. | Aug 2008 | A1 |
| 20080208586 | Ativanichayaphong et al. | Aug 2008 | A1 |
| 20080208587 | Cross et al. | Aug 2008 | A1 |
| 20080208588 | Cross et al. | Aug 2008 | A1 |
| 20080208589 | Cross et al. | Aug 2008 | A1 |
| 20080208590 | Cross et al. | Aug 2008 | A1 |
| 20080208591 | Ativanichayaphong et al. | Aug 2008 | A1 |
| 20080208592 | Cross et al. | Aug 2008 | A1 |
| 20080208593 | Ativanichayaphong et al. | Aug 2008 | A1 |
| 20080208594 | Cross et al. | Aug 2008 | A1 |
| 20080228494 | Cross et al. | Sep 2008 | A1 |
| 20080228495 | Cross et al. | Sep 2008 | A1 |
| 20080235021 | Cross et al. | Sep 2008 | A1 |
| 20080235022 | Cross et al. | Sep 2008 | A1 |
| 20080235027 | Cross | Sep 2008 | A1 |
| 20080235029 | Cross et al. | Sep 2008 | A1 |
| 20080249782 | Ativanichayaphong et al. | Oct 2008 | A1 |
| 20080255850 | Cross et al. | Oct 2008 | A1 |
| 20080255851 | Cross et al. | Oct 2008 | A1 |
| Number | Date | Country |
|---|---|---|
| 1385783 | Dec 2002 | CN |
| 1385783 | Dec 2002 | CN |
| 1564123 | Jan 2005 | CN |
| 0794670 | Sep 1997 | EP |
| 1450350 | Aug 2004 | EP |
| 0507148.5 | Apr 2005 | EP |
| 2000155529 | Jun 2000 | JP |
| 02003140672 | May 2003 | JP |
| 2005017620 | Jan 2005 | JP |
| WO 9948088 | Sep 1999 | WO |
| WO 0051106 | Aug 2000 | WO |
| WO 0232140 | Apr 2002 | WO |
| WO 2004062945 | Jul 2004 | WO |
| WO2006108795 | Oct 2006 | WO |
| Entry |
|---|
| Cordoba et al. “Implementation of dialog applications in an open-source VoiceXML platform.” In: Proc. Internat. Conf. of Spoken Language Processing (ICSLP), Oct. 2004, pp. 257-260. |
| Schulz et al. “A Spoken Language Front-end for a Multilingual Music Data Base.” In Proceedings of the Berliner XMLTage, Berlin, Germany, 2004, pp. 1-9. |
| López-Cózar et al. “Multimodal, multilingual and adaptive dialogue system for ubiquitous interaction in educational space,” in Proc.of Applied Spoken Language Interaction in Distributed Environments (ASIDE), Aalborg (Denmark), 2005, pp. 1-4. |
| U.S. Appl. No. 10/919,005, filed Dec. 2005, Eichenberger, et al. |
| U.S. Appl. No. 12/109,151, filed Apr. 2008, Agapi, et al. |
| U.S. Appl. No. 12/109,167, filed Apr. 2008, Agapi, et al. |
| U.S. Appl. No. 12/109,204, filed Apr. 2008, Agapi, et al. |
| U.S. Appl. No. 12/109,227, filed Apr. 2008, Agapi, et al. |
| U.S. Appl. No. 12/109,214, filed Apr. 2008, Agapi, et al. |
| Axelsson, et al.; “XHTML+Voice Profile 1.2” Internet, [Online] Mar. 16, 2004 (Mar. 6, 2004), pp. 1-53, XP002484188 Retrieved from the Internet: URL: http://www.voicexml.org/specs/mutlimodal/x+v/12/spec.html [retrieved on Jun. 12, 2008]. |
| W3C: “Voice Extensible Markup Language (VoiceXML) Version 2.0” Internet Citation, [Online] XP002248286 Retrieved from the Internet: URL:http://www.w3.org/TR/voicexml20 [retrieved on Jul. 18, 2003]. |
| W3C: “Voice Extensible Markup Language (VoiceXML) 2.1, W3C Candidate Recommendation Jun. 13, 2005” Internet, [Online] Jun. 13, 2005, pp. 1-34, XP002484189 Retrieved from the Internet: URL:http://www.w3.org/TR/2005/CR-voicexml21-20050613/ [retrieved on Jun. 12, 2008]. |
| PCT Search Report, Jun. 25, 2008; PCT Application No. ; PCT/EP2008/051358. |
| PCT Search Report, Jun. 18, 2008; PCT Application No. ; PCT/EP2008/051363. |
| Didier Guillevic, et al.,Robust Semantic Confidence Scoring ICSLP 2002: 7th International Conference on Spoken Language Processing. Denver Colorado, Sep. 16-20, 2002 International Conference on Spoken Language Processing (ICSLP), Adelaide: Causal Productions, AI, Sep. 16, 2002, p. 853, XP007011561 ISBN:9788-1-876346-40-9. |
| U.S. Appl. No. 10/924,520, filed Aug. 24, 2004, Charles W. Cross, Jr. |
| U.S. Appl. No. 10/945,112, filed Sep. 20, 2004, Charles W. Cross, Jr. |
| U.S. Appl. No. 10/870,517, filed Jun. 17, 2004, Charles W. Cross, Jr. |
| U.S. Appl. No. 10/441,839, filed May 20, 2003, S. Ativanichayaphong. |
| U.S. Appl. No. 11/062,731, filed Feb. 22, 2005, David Jaramillo. |
| U.S. Appl. No. 11/007,830, filed Dec. 8, 2004, Charles W. Cross, Jr. |
| U.S. Appl. No. 10/945,119, filed Sep. 20, 2004, Charles W. Cross, Jr. |
| U.S. Appl. No. 11/022,464, filed Dec. 22, 2004, Charles W. Cross, Jr. |
| U.S. Appl. No. 10/741,997, filed Dec. 19, 2003, Akram Boughannam. |
| U.S. Appl. No. 10/741,499, filed Dec. 19, 2003, Akram Boughannam. |
| U.S. Appl. No. 11/056,493, filed Feb. 11, 2005, Ciprian Agapi. |
| U.S. Appl. No. 11/093,545, filed Mar. 30, 2005, Marc White. |
| U.S. Appl. No. 11/105,865, filed Apr. 14, 2005, Charles W. Cross, Jr. |
| U.S. Appl. No. 10/849,642, filed May 19, 2004, Charles W. Cross, Jr. |
| U.S. Appl. No. 10/992,979, filed Nov. 19, 2004, Charles W. Cross, Jr. |
| U.S. Appl. No. 10/733,610, filed Oct. 19, 2006, Ronald J. Bowater. |
| Number | Date | Country | |
|---|---|---|---|
| 20080235027 A1 | Sep 2008 | US |
