Quenot, Gauvain, Gangolf & Mariani, A Dynamic Programming Processor for Speech Recognition, IEEE Journal of Solid-State Circuits, vol. 24, No. 2, pp. 349-357, Apr. 1989. |
Wang, Wu, Chang & Lee, A Hierarchical Neural Network Model Based on C/V Segmentation Algorithm for Isolated Mandarin Speech Recognition, IEEE Transactions on Signal Processing, vol. 39, No. 9, pp. 2141-2147, Sep. 1991. Takahashi, Hamauchi, Tansho & Kimura, A Modularized Processor LSI with a Highly Parallel Structure for Continuous Speech Recognition, IEEE Journal of Solid-State Circuits, vol. 26, No. 6, pp. 833-843, Jun. 1991. |
Elman, A Personal Computer-based Speech Analysis and Synthesis System, IEEE MICRO, pp. 4-21, June 1987. |
Levinson & Roe, A Perspective on Speech Recognition--IEEE Communications Magazine, pp. 28-34, Jan. 1990. |
Krubsack & Niederjohn, An Autocorrelation Pitch Detector and Voicing Decision with Confidence Measures Developed for Noise-Corrupted Speech, IEEE Transactions on Signal Processing, vol. 39, No. 2 pp. 319-329, Feb. 1991. |
Hurst & Brodersen, An MOS-LSI Autocorrelator for Linear Prediction of Speech, IEEE Journal of Solid-State Circuits, vol. sc-19, No. 6, pp. 1022-1029, Dec. 1984. |
Zhao, Atlas & Zhuang, Application of the Gibbs Distribution to Hidden Markov Modeling in Speaker Indepdent Isolated Word Recognition, IEEE Transactions on Signal Processing, vol. 39, No. 6, pp. 1291-1299, Jun. 1991. |
Drews, Laroia, Pandel, Schumacher & Stolzle, CMOS Processor for Template-Based Speech-Recognition System, IEE Proceedings, vol. 136, Pt. 1, No. 2, pp. 155-161, Apr. 1989. |
Young, Competitive Training: A Connectionist Approach to the Discriminative Training of Hidden Markov Models, IEE Proceedings-1, vol. 1338, No. 1, pp. 61-68, Feb. 1991. |
Young Designing a Conversational Speech Interface, IEE Proceedings, vol. 133, Pt. E, No. 6, pp. 305-311, Nov. 1986. |
Kong & Kosko, Differential Competitive Learning for Centroid Estimation and Phoneme Recognition, IEEE Transactions on Neural Networks, vol. 2, No. 1, pp. 118-124, Jan. 1991. |
Ney, Dynamic Programming Parsing for Context-Free Grammars in Continuous Speech Recognition, IEEE Transactions on Signal Processing, vol. 39, No. 2, pp. 336-340, Feb. 1991. |
Murano, Unagami & Amano, Echo Cancellation and Applications, IEEE Communications Magazine, pp. 49-55, Jan. 1990. |
Jack, Laver & Blauert, Editorial: Speech Technology, IEE Proceedings, vol. 136, Pt. 1, No. 2, p. 109, Apr. 1989. |
Chen & Pan, Fast Search Algorithm for VQ-Based Recognition of Isolated Words, IEE Proceedings, Vol. 136, Pt 1, No. 6, pp. 391-396, Dec. 1989. |
Bengio, De Mori, Flammia & Kompe, Global Optimization of Neural Network-Hidden Markov Model Hybird, IEEE Transactions on Neural Networks, vol. 3, No. 2, pp. 253-259, Mar. 1992. |
Mariani, Hamlet A Prototype of a Voice-Activated Typewriter, IEE Proceedings, vol. 136, Pt. 1, No. 2, pp.162-166, Apr. 1989. |
Trancoso & Tribolet, Harmonic Postprocessing Speech Synthesized by Stochastic Coders, IEE Proceedings, vol. 136, Pt. 1, No. 2, pp. 141-144, Apr. 1989. |
Martinelli, Orlandi, Ricotti & Ragazzini, Identification of Stable Nonstationary Lattice Predictors by Linear Programming, IEE Proceedings, vol. 74, No. 5, pp. 759-776, May 1986. |
Sutherland, Jack & Laver, Improved Pitch Detection Algorithm Employing Temporal Structure Investigation of the Speech Waveform, IEEE Proceedings, vol. 135, Pt. F, No. 2, pp. 169-174, Apr. 1988. |
Lee, Information-Theoretic Distortion measures for Speech Recognition, IEEE Transactions on Signal Processing, Vol. 39, No. 2, pp. 330-335, Feb. 1991. |
Yuhas, Goldstein & Sejnowski, Integration of Acoustic and Visual Speech Signals Using Neural Networks, IEEE Communications Magazine, pp. 65-71, Nov. 1989. |
Erell, Orgad & Goldstein, JND's in the LPC Poles of Speech and Their Application to Quantization of the LPC Filter, IEEE Transactions on Signal Processing, vol. 39, No. 2, pp. 308-318, Feb. 1991. |
Liu, Lee, Wang & Chang, Layered Neutral Nets Applied in the Recognition of Voiceless Unaspirated Stops, IEE Proceedings, vol. 136, Pt. 1,No. 2, pp. 69-75, Apr. 1989. |
De Mori, Lam & Gilloux, Learning and Plan Refinement in a Knowledge-Based System for Automatic Speech Recognition, IEEE Transactions on Pattern Analysis & Machine Intelligence, vol. PAMI-9, No. 2 pp. 289-305, Mar. 1987. |
Schroeder, Linear Predictive Coding of Speech: Review and Current Directions, IEEE Communications Magazine, pp. 54-61, Aug. 1985. |
Pal & Mirta, Multilayer Perception, Fuzzy Sets, and Classification, IEEE Transactions on Neural Networks, vol. 3, No. 5, pp. 683-697, Sep. 1992. |
Yuhas,Goldstein, Sejnowski & Jenkins, Neural Network Models of Sensory Integration for Improved Vowe Recognition, IEEE Proceedings, vol. 78, No. 10, pp. 1658-1668, Oct. 1990. |
Rashwan & Fahmy, New Technique for Speaker-Independent Isolated-Work Recognition, IEEE Proceedings, vol. 135, Pt. F, No. 3, pp. 251-546, Jun. 1988. |
Brieseman, Thorpe & Bates, Nontactile Estimation of Glottal Excitation Characteristics of Voiced Speech, IEEE Proceedings, vol. 134, Pt. A, No. 10, pp. 807-813, Dec. 1987. |
Chou, Optimal Partitioning for Classification and Regression Trees, IEEE Transactions on Pattern Analysis & Machine Intelligence, vol. 13, No. 4, pp. 340-355, Apr. 1991. |
Lowe & Webb, Optimized Feature Extraction and the Bayes Decision in Feed-Forward Classifier Networks, IEEE Transactions on Pattern Analysis & Machine Intelligence, vol. 13, No. 4, pp. 355-364, Apr. 1991. |
Lippmann, Pattern Classification Using Neural Networks, IEEE Communications Magazine, pp. 47-64, Nov. 1989. |
Pisoni, Nusbaum & Greene, Perception of Synthetic Speech Generated by Rule, IEE Proceedings, Vol. 73, No. 11, pp. 1665-, Nov. 1985. |
Mohan & Komandur, Performance of a Multiprocessor-Based Parallel Stack Algorithm Speech Encoder, IEEE, pp. 463-467, 1987. |
Barnard, Cole, Vea & Alleva, Pitch Detection with a Neural-Net Classifier, IEEE Transactions on Signal Processing, vol. 39, No. 2, pp. 298-307, Feb. 1991. |
Chaparro & Shufelt, Rational models for Quasi-Periodic Signals, IEEE Proceedings, vol. 74, No. 4, pp. 611-617, Apr. 1986. |
Mercier, Bigorgne, Miclet, Le Guennec & Querre, Recognition of Speaker-Dependent Continuous Speech with KEAL, IEEE Transaction on Signal Processing, vol. 136, PT. 1, No. 2, pp. 145-154, Apr. 1989. |
Cheng & O'Shaughnessy, Short-Term Temporal Decomposition and its Properties for Speech Compression, IEEE Transactions on Signal Processing, vol. 39, No. 6, pp. 1282-1290, Jun. 1991. |
Georgoudis & Lagoyannis, Short-Time Spectrum Analyzer Based on Delta-Sigma Modulation, IEE Proceedings, vol. 133, Pt. G, No. 6, pp. 295-299, Dec. 1986. |
Gong & Haton, Signal-to-String Conversation Based on High Likelihood Regions Using Embedded Dynamic Programming, IEEE Transactions on Pattern Analysis & Machine Intelligence, vol. 13, No. 3, pp. 297-302, Mar. 1991. |
Tattersall, Foster, & Johnston, Single-Layer Lookup Perceptions, IEE Proceedings-F, vol. 13, No. 3, pp. 46-54 Feb. 1991. |
Casacuberta, Some Relations Among Stochastic Finite State Networks Used in Automatic Speech Recognition, IEEE Transactions on Pattern Analysis & Machine Intelligence, vol. 12, No. 7, pp. 691-704, Jul. 1990. |
Doddington, Speaker Recognition-Identifying People by their Voices, IEE Proceedings, vol. 73, No. 11, pp. 1651-1663, Nov. 1985. |
Naik, Speaker Verification: A Tutorial, IEEE Communications Magazine, pp. 42-48, Jan. 1990. |
Sagisaka, Speech Synthesis from Text, IEEE Communications Magazine, pp. 35-41, Jan. 1990. |
Ariki, Mizuta, Nagata, Sakai, Spoken-Word Recognition Using Dynamic Features Analyzed by Two-Dimensional Cepstrum, IEE Proceedings, vol. 136, Pt. 1, No. 2, pp. 133-140, Apr. 1989. |
Mohan, Lin & Kryskowski, Stack Algorithm Speech Encoding with Fixed and Variable Symbol Release Rules, IEEE Transactions on Communications, vol. Com-33, No. 9, pp. 1015-1019, Sep. 1985. |
Levinson, Structural Methods in Automatic Speech Recognition, IEE Proceedings, vol. 73, No. 11, pp. 1625-1650, Nov. 1985. |
Mclnnes, Jack & Laver Template Adaptation in an Isolated Word-Recognition System, IEE Proceedings, vol. 136, Pt. 1, No. 2, pp. 119-126 Apr. 1989. |
Jelinek, The Development of an Experimental Discrete Dictation Recognizer, IEE Proceedings, vol. 73, No. 11,pp. 1616-1624, Nov. 1985. |
Glinski, Lalimia, Cassiday, Koh, Gerveshi, Wilson & Kumar, The Graph Search Machine (GSM): A VLSI Architecture for Connected Speech Recognition and Other Applications, IEEE Proceedings, vol. 75, No 9, pp. 1170-1184, Sep. 1987. |
Zue, The Use of Speech Knowledge in Automatic Speech Recognition, lEE Proceedings, Vol. 73, No. 11, pp. 1602-1615, Nov. 1985. |
Brown, McGee, Rabiner & Wilpon, Training Set Design for Connected Speech Recognition, IEEE Transactions on Signal Processing, vol. 39, No. 6, pp. 1268-1281, Jun. l991. |
Nandi, Aburdene, Constantindes, & Dologlou, Variation of Vector Quantisation and Speech Waveform Coding, IEE Proceedings-1, vol. 138, No. 2, pp. 76-80, Apr. 1991. |
Nandkumar & Hansen, Speech Enhancement Based on a New Set of Auditory Constrained Parameters, IEEE 1994. |
Teolis & Benedetto, Noise Suppression Using A Wavelet Model, IEEE 1994. |
Niles, Acoustic Modeling for Speech Recognition Based on Spotting of Phonetic Units, IEEE 1994. |
Krishnan & Rao, Segmental Phoneme Recognition Using Piecewise Linear Regression, IEEE 1994. |
Pawate & Dowling, A New Method for Segmenting Continuous Speech, IEEE 1994. |
Gong & Haton, Stochastic Trajectory Modeling for Speech Recognition, IEEE 1994. |
Suaudeau, An Efficient Combination of Acoustic and Supra-Segmental Information in a Speech Recognition System, IEEE 1994. |
Samouelian, Knowledge Based Approach to Consonant Recognition, IEEE 1994. |
Moreno & Stem, Sources of Degradation of Speech Recognition in the Telephone Network, IEEE 1994. |
Garofolo, Robinson & Fiscus, The Development of File Formats for Very Large Speech Corpora: Sphere and Shorten, IEEE 1994. |
Kao, Hemphill, Wheatley & Rajasekaran, Toward Vocabulary Independent Telephone Speech Recognition ,IEEE 1994. |
Anderson, Dalsgaard & Barry, On the Use of Data-Driven Clustering Technique for Identification of Poly-and Mono-phonemes for four European Languages, IEEE 1994. |
Eatock & Mason, A Quantitative Assessment of the Relative Speaker Discriminating Properties of Phonemes, IEEE 1994. |
Hayakawa & Itakura, Text-Dependent Speaker Recognition Using the Information in the Higher Frequency Band, IEEE 1994. |
Johansen & Johnsen, Non-Linear Input transformations for Discriminative HMMS, IEEE 1994. |
Kosaka & Sagayama, Tree-Structured Speaker Clustering for Fast Speaker Adaptation, IEEE 1994. |
Bourlard, D'hoore & Boite, Optimizing Recognition and Rejections Performance in Workspotting Systems, IEEE 1994. |
James & Young, A Fast Lattice-Based Approach to Vocabulary Independent Wordspotting, IEEE 1994. |
Jeanrenaud, Siu, Rohlicek, Meteer & Gish, Spotting Events in Continuous Speech, IEEE 1994. |
Ohmura, Fine Pitch Contour Extraction by Voice Fundamental Wave Filtering Method, IEEE 1994. |
Shimodaira & Nakai, Prosopic Phrase Segmentation By Pitch Pattern Clustering, IEEE 1994. |
Dumouchel, Suprasgmental Features and Continuous Speech Recognition, IEEE 1994. |
Kompe, Batliner, Keissling, Kilian, Niemann & Noth, Automatic Classification of Prosopically Marked Phrase Boundaries in German, IEEE 1994. |
Hunt, A Generalized Model for Utilizing Prosopic Information in Continuous Speech Recognition, IEEE 1994. |
Minami, Shikano, Takahashi & Yamada, Search Algorithm That Merges Candidates In Meaning Level Fo Very Large Vocabulary Spontaneous Speech Recognition, IEEE 1994. |
Chen, Soong & Lee, Large Vocabulary Word Recognition Based on Tree-Trellis Search, IEEE 1994. |
Kataoka, Moriya & Hayahi, Implementation and Performance of an 9-kbit/s Conjugate Structure Celp Speech Coder, IEEE 1994. |
Gao & Haton, A Hierarchical LPNN Network for Noise Reduction and Noise Degraded Speech Recognition, IEEE 1994. |
Seide & Mertins, Non-Linear Regression Based Feature Extraction For Connected-Work Recognition in Noise, IEEE 1994. |
Usagawa, Iwata & Ebata, Speech Parameter Extraction in Noisy Environment Using a Masking Model, IEEE 1994. |
Slaney, Naar & Lyon, Auditory Model Inversion for Sound Separation, IEEE 1994. |
Hemando & Nadeu, Speech Recognition in Noisy Car Environment Based on OSALPC Representation and Robust Similarity Measuring Techniques, IEEE 1994. |
Vaseghi, Milner & Humphries, Noisy Speech Recognition Using Cepstral-Time Features and Spectral-Tim Filters, IEEE 1994. |
Liu, Stern, Acero & Moreno, Environment normalization for Robust Speech Recognition using Direct Cepstral Comparison, IEEE 1994. |
Kobayashi, Mine & Shirai, Markov Model Based Nowise Modeling and Its Application to Noisy Speech Recognition using Dynamical Features of Speech, IEEE 1994. |
Xie & Compernolle, A Family of MLP Based Nonlinear Spectral Estimators for Noise Reduction, IEEE 1994. |
Openshaw & Mason, On The Limitations of Cepastral Features in Noise, IEEE 1994. |
Arslan & Hansen, Minimum Cost Based Phoneme Class Detection for Improved Iterative Speech Enhancement, IEEE 1994. |
Meng, Seneff & Zue, Phonological Parsing for Reversible Letter-to-Sound/Sound-to-Letter Generation, IEEE 1994. |
Martino, Mari, Mathieu, Perot & Smaili, Which Model for Future Speech Recognition Systems: Hidden Markov Models or Finite-State Automata? IEEE 1994. |
Chen & Soong, Discriminative Training of High performance Speech Recognizer Using N Best Candidates, IEEE 1994. |
Euler & Zinke, The Influence of Speech Coding Algorithms on Automatic Speech, IEEE 1994. |
Zhang, Alder & Togneri, Using Gaussian Mixture Modeling in Speech Recognition, IEEE 1994. |
Milner & Vaseghi, Speech Modeling Using Cepstral-Time Feature Matrices and Hidden Markov Models, IEEE 1994. |
Noda & Shirazi, A MRF-Based Parallel Processing Algorithm for Speech Recognition Using Linear Predictive HMM, IEEE 1994. |
Galanes, Savoji & Pardo, New Algorithm for Spectral Smoothing and Envelope Modification for LP-PSOLA Synthesis, IEEE 1994. |
Dutoit, High Quality Test-To-Speech Synthesis: A Comparison of Four Candidate Algorithms, IEEE 1994. |
Kubala, Anastasakos, Makhoul, Nguyen, Schwartz & Zavaliagkos, Comparative Experiments on Large Vocabulary Speech Recognition, IEEE 1994. |
Kenny, Labute, Li, & O'Shaughnessy, New Graph Search Techniques for Speech Recognition, IEEE 1994. |
Kohata & Takagi, Vector Quantization With Hyper-Columnar Clusters, IEEE 1994. |
Erkelens & Broersen, Analysis of Spectral Interpolation with Weighing Dependent on Fram Energy, IEEE 1994. |
Mizuno & Abe, Voice Conversion Based on Piecewise Linear Conversion Rules of Formant Frequency and Spectrum Tilt, IEEE 1994. |
Choi, Bang & Ann, A Robust Sequential Parameter Estimation for Time-Varying Speech Signal Analysis, IEEE 1994. |
Takebayashi & Kanazawa, Adaptive Noise Immunity Learning for Word Spotting, IEEE 1994. |
Rahim & Juang, Signal Bias Removal for Robust Telephone Based Speech Recognition in Adverse Environments, IEEE 1994. |
Lockwood & Alexandre, Root Adaptive Homomorphic Deconvolution Schemes For Speech Recognition in Noise, IEEE 1994. |
Treumiet & Gong, Noise Independent Speech Recognition for a Variety of Noise Types, IEEE 1994. |
Anastasako, Kubala, Makhoul & Schwartz, Adaptation to New Microphones Using Tied-Mix Normalization, IEEE 1994. |
Kobatake & Matsunoo, Degraded Word Recognition Based on Segmental Signal-To-Noise Ratio Weighing, IEEE 1994. |
Neumeyer & Weintraub, Probablistic Optimum Filtering for Robust Speech Recognition, IEEE 1994. |
Flores & Young, Continuous Speech Recognition in Noise Using Spectral Subtraction and HMM Adaptation, IEEE 1994. |
Biermann, Fineman & Heidlage, A Voice-and Touch-Driven Natural Language Editor and its Performance, International Journal of Man-Machine Studies, vol. 37, No. 1, pp. 1-21, July 1992. |
Newell, Arnott, Dye & Caims, A Full-Speed Listening Typewriter Simulation, International Journal of Man- Machine Studies, vol. 35, No. 2, pp. 119-131, Aug. 1991. |
Connolly, Edmonds, Guzy Johnson & Woodcock, Automatic Speech Recognition Based on Spectrogram Reading, International Journal of Man-Machine Studies, vol. 24, No. 6, pp. 611-621, Jun. 1986. |
Frankish, Decline in Accuracy of Automatic Speech Recognition as a Function of Time on Task: Fatigue or Voice Drift, International Journal of Man-Machine Studies, vol. 36, No. 6. pp. 797-816, Jun. 1992. |
Candy, O'Brien & Edmonds, End-User Manipulation of a Knowledge-Based System: A Study of An Expert's Practice, International Journal of Man-Machine Studies, vol. 38, pp. 129-145, 1993. |
Baber, Ushers, Stammers & Taylor, Feedback Requirements for Automatic Speech Recognition in the Process Control Room, International Journal of Man-Machine Studies, vol. 37, No. 6, Dec. 1992. |
Ainsworth & Pratt, Feedback Strategies for Error Correction in Speech Recognition Systems, International Journal of Man-Machine Studies, vol. 36, pp. 833-842, 1992. |
O'Brien, Knowledge-Based Systems in Speech Recognition: A Survey of, International Journal of Man-Machin Studies, vol. 38, No. 1, pp. 71-95, Jan. 1993. |
O'Brien, Spectral Features of Plosives in Connected-Speech Signals, International Journal of Man-Machine Studies, vol. 38, pp. 97-127, 1993. |
Damper, Voice-Input Aids for the Physically Disabled, International Journal of Man-Machine Studies, vol. 21, pp. 541-553, 1984. |
Ainsworth, Technical Note: Theoretical and Simulation Approaches to Error Correction Strategies in Automatic Speech Recognition, International Journal of Man-Machine Studies, vol. 39, pp. 517-520, 1993. |
Baber & Hone, Modeling Error, Recovery and Repair in Automatic Speech Recognition, International Journal of Man-Machine Studies, vol. 39, pp. 495-515, 1993. |
Wang, Liu, Lee & Chang, A Study on the Automatic Recognition of Voiceless Unaspirated Stops, J. Acoustical Society of America, vol. 89, No. 1, pp. 461-464, Jan. 1991. |
Howell & Williams, Acoustic Analysis and Perception of Vowels in Children's and Teenager's Stuttered Speech, J. Acoustical Society of America, vol. 91, No. 3, pp. 1697-1706, Mar. 1992. |
Qi & Shipp, An Adaptive Method for Tracking Voicing Irregularities, J. Acoustical Society of America, vol. 91, No. 6, pp. 3471-3475, Jun. 1992. |
Crystal & House, Articulation Rate and the Duration of Syllables and Stress Groups in Connected Speech, J. Acoustical Society of America, vol. 88, No. 1, pp. 101-112, Jul. 1990. [J. Acoustical Society of America, vol. 90, No. 2, p. 1191, Aug. 1991. |
Zera, Onsan, Nguyen, & Green Auditory Profile Analysis of Harmonic Signals, J. Acoustical Society of America, vol. 93, No. 6, pp. 3431-3441, Jun. 1993. |
Watrous, Ladendorf & Kuhn, Complete Gradient Optimization of a Recurrent Network Applied to/b/,/d/,/g/Discrimination, J. Acoustical Society of America, vol. 87, No. 3, pp. 1301-1309, Mar. 1990. |
Langhans & Kohlrausch, Differences in Auditory Performance Between Monaural and Diotic Conditions, I: Masked thresholds in Frozen Noise, J. Acoustical Society of America, vol. 91, No. 6, pp. 3456-3470, Jun. 1992. |
Nossair & Zahorian, Dynamic Spectral Shape Features as Acoustic Correlates for Initial Stop Consonants, J. Acoustical Society of America, vol. 89, No. 6, pp. 2978-2991, Jun. 1991. |
Kluender, Effects of First Formant Onset Properties on Voicing Judgments Result From Processes Not Specific to Humans, J. Acoustical Society of America, vol. 90, No. 1, pp. 83-96, Jul. 1991. |
Gupta, Lennig & Mermeistein, Fast Search Strategy in a Large Vocabulary Word Recognizer, J. Acoustical Society of America, vol. 84, No. 6 pp. 2007-2017, Dec. 1988. |
Sommers, Moody, Prosen & Stebbins, Formant Frequency Discrimination by Japanese Macaques (Macac Fuscata) J. Acoustical Society of America, vol. 91, No. 6, pp. 3499-3509, Jun. 1992. |
Sundberg Lindblom & Liljencrants, Formant Frequency Estimates for Abruptly Changing Area Functions A Comparison Between Calculations and Measurements, J. Acoustical Society of America, vol. 91, No. 6 pp. 3478-3482, Jun. 1992. |
Wu & Childers, Gender Recognition From Speech. Part I: Coarse Analysis, J. Acoustical Society of America vol. 90, No. 4, pp. 1828-1856, Oct. 1991. |
Schmidt-Neilsen & Stern, Identification of Known Voices as a Function of Familiarity and Narrow-Band Coding, J. Acoustical Society of America, vol. 77, No. 2, pp. 658-670, Feb. 1985. |
McGrath & Summerfield, Internodal Timing Relations and Audio-Visual Speech Recognition by Normal-Hearing Adults, J. Acoustical Society of America, vol. 77, No. 2, pp. 678-685, Feb. 1985. |
Elman & Zipser, Learning the Hidden Structure of Speech, J. Acoustical Society of America, vol. 83, No. 4, pp. 1615-1626, Apr. 1988. |
Akagi, Modeling of Contextual Effects Based on Spectral Peak Interaction, J. Acoustical Society of America. |
Culling & Darwin, Perceptual Separation of Simultaneous Vowels: Within and Across-Formant Groupin by F.sub.0, J. Acoustical Society of America, vol. 93, No. 6, pp. 3454-3467, Jun. 1993. |
Immerseel & Martens, Pitch and Voiced/Unvoiced Determination with an Auditory Model, J. Acoustical Society of America, vol. 91, No. 6, pp. 3511-3526, Jun. 1992. |
Levinson, Recognition of Continuous Complex Speech by Machine, J. Acoustical Society of America, vol. 87, No. 1, pp. 422-423, Jan. 1990. |
Wightman, Shattuck-Hufnagel, Ostendorf & Price, Segmental Durations in the Vicinity of Prosopic Phrase Boundaries, J. Acoustical Society of America, vol. 91, No. 3, pp. 1707-1717, Mar. 1992. |
Leinonen, Hiltunen, Torkkola, & Kangas, Self-Organized Acoustic Feature Map in Detection of Fricative-Vowel Coarticulation, J. Acoustical Society of America, vol. 93, No. 6, pp. 3468-3474, Jun. 1993. |
Zahorian & Jafharghi, Speaker Normalization of Static and Dynamic Vowel Spectral Features, J. Acoustical Society of America, vol. 90, No. 1, pp. 67-75, Jul. 1991. |
Koenig, Spectrographic Voice Identification: A Forensic Survey, J. Acoustical Society of America, vol. 79, No. 6, pp. 2088-2090, Jun. 1986. |
Lindholm, Dorman, Taylor & Hannley, Stimulus Factors Influencing the Identification of Voiced Stop Consonants by Normal-Hearing and Hearing-Impaired Adults, J. Acoustical Society of America,vol. 83 No. 4, pp. 1608-1614, Apr. 1988. |
Pfingst, DeHann & Holloway, Stimulus Features Affecting Psychophysical Detection Thresholds for Electrical Stimulation of the Cochlea. I: Phase Duration and Stimulus Duration, J. Acoustical Society o America, vol. 90, No. 4, pp. 1857-1866, Oct. 1991. |
Fourakis, Tempo, Stress, and Vowel Reduction in American English, J. Acoustical Society of America, vol. 90, No. 4, pp. 1816-1827, Oct. 1991. |
Junqua, The Lombard Reflex and its Role on Human Listeners and Automatic Speech Recognizers, J. Acoustical Society of America, vol. 91, No. 1, pp. 510-524, Jan. 1993. |
Grant, Ardell, Kuhl & Sparks, The Contribution of Fundamental Frequency, Amplitude Envelope, and Voicing Duration Cues to Speechreading in Normal-Hearing Subjects, J. Acoustical Society of America vol. 77, No. 2, pp. 671-677, Feb. 1985. |
Hermes & vanGestel, The Frequency Scale of Speech Intonation, J. Acoustical Society of America, vol. 90, No. 1, pp. 97-102, Jul. 1991. |
Bloothooft & Plomp, The Sound Level of the Singer's Formant in Professional Singing, J. Acoustical Societ of America, vol. 79, No. 6, pp. 2028-2033, Jun. 1986. |
Lennig & Mermeistein, Use of Vowel Duration Information in a Large Vocabulary Word Recognizer, J. Acoustical Society of America, vol. 86, No. 2, pp. 540-548, Aug. 1989. |
Revoile, Kozma-Spytek, Holden-Pitt, Pickett & Droge, VCVs vs CVCs for Stop/Fricative Distinctions by Hearing-Impaired and Normal-Hearing Listeners, J. Acoustical Society of America, vol. 89, No. 1, pp. 457-406, Jan. 1991. |
Milenkovic, Voice Source Model for Continuous Control of Pitch Period, J. Acoustical Society of America, vol. 93, No. 2, pp. 1087-1096, Feb. 1993. |
Casali, Williges & Dryden, Effects of Recognition Accuracy and Vocabulary Size of a Speech Recognition System on Task Performance and User Acceptance, The Human Factors, pp. 183-196, Apr. 1990. |
Simpson, McCauley, Roland, Ruth & Williges, System Design for Speech Recognition and Generation, The Human Factors, Apr. 1990. |
Pallett, Performance of Research of the National Bureau of Standards, Journal of Research of the National Bureau of Standard, vol. 90, No. 5, pp. 371-387, Oct. 1985. |
Mandel, A Commercial Large-Vocabulary Discrete Speech Recognition System: Dragon Dictate, Language and Speech, vol. 35, No, 1,2, pp. 237-246, 1992. |
Lofqvist, Acoustic and Aerodynamic Effects of Interarticulator Timing in Voiceless Consonants, Language and Speech, vol. 35, No, 1,2, pp. 15-28, 1992. |
Hasegawa & Hata, Fundamental Frequency as an Acoustic Cue to Accent Perception, Language and Speech, vol. 35, No, 1,2, pp. 87-98, 1992. |
Shriberg, Perceptual Restoration of Filtered Vowels with Added Noise, Language and Speech, vol. 35, No, 1,2, pp. 127-136, 1992. |
Weitzman, Vowel Categorization and the Critical Band, Language and Speech, vol. 35, No, 1,2, pp. 115-125 1992. |
Chasaide & Gobl, Contextual Variation of the Vowel Voice Source as a Function of Adjacent Consonants, Language and Speech, pp. 303-323. |
Ohala, Coarticulation and Phonology, Language and Speech, vol. 36, No. 2, 3, pp. 155-170, 1993. |
Schmidbauer, Casacuberta, Castro, Hegerl, Hoge, Sanchez & Zlokarnik, Articulatory Representation and Speech Technology, Language and Speech, vol. 36, No, 2,3, pp. 331-351, 1993. |
Marchal & Hardcastle, Accor. Instrumentation and Database for the Cross-Language Study of Coarticulation, Language and Speech, vol. 36, No. 2, 3, pp. 137-153, 1993. |
Phillip, Applications of Automatic Speech Recognition and Synthesis in Libraries and Information Services: A Future Scenario, Library Hi Tech, Issue 35, pp. 89-93, 1991. |
O'Kane & Kenne, Sidebar 1: Automatic Speech Recognition: One of the Hard Problems of Artificial Intelligence, Library Hi Tech, Issue 37-38, pp. 42-49, 1992. |
Zue, Automatic Speech Recognition and Understanding, MIT Survey, pp. 185-200. |
PC Recognizes 20,000 Spoken Words, Machine Design, p. 16, May 7, 1987. |
Voice Recognizers Ignore Noise, Machine Design, p. 18, Dec. 12, 1985. |
Speech Recognition Trial, Monitor, vol. 28, No. 5, p. 227, Jun. 1986. |
Grossberg & Wyse, A Neural Network Architecture for Figure-Ground Separation of Connected Scenic Figures, Neural Networks, vol. 4, pp. 723-742, 1991. |
Tom & Tenorio, Short Utterance Recognition Using a Network with Minimum Training, Neural Networks vol. 4, pp. 711-722, 1991. |
Anderson, Cross & Lamb, Listening Computers Broaden Their Vocabulary, New Scientist, p. 38, Aug. 4, 1988. |
Andrews, IBM and Apple Work to Perfect Voice Input News & Views. |
Smart Cards will Respond to Owner's Voice, Radio-Electronics. |
Advance in Computer Speech Recognition, Reader Service, No. 128, Mar. 1985. |
Waldrop, A Landmark in Speech Recognition, Research News, p. 1615, Jun. 17, 1988. |
Speech Recognition Problems Examined, Society of Automotive Engineers, vol. 95, No. 8, pp. 59-61, 1987. |
Clery, Scottish Software May run Voice-Controlled Computer, Technology, Mar. 1990. |
Dictating Greater Efficiency, The Engineer, pp 46, 49, Apr. 27, 1989. |
Pullin, Developing Systems to Hear Through the Shopfloor Din, The Engineer, pp. 32-33, Sep. 21, 1989. |
Mercer, Statistical Modeling for Automatic Speech Recognition, AFIPS Conference Proceedings, May 16-19 1983, p. 643. |
Rabiner, Wilpon, & Juang, A Sgmental .kappa.-Means Training Procedure for Connected Word Recognition, AT&T Technical Journal, vol. 65, No. 3, pp. 21-31, May/Jun. 1986. |
Wilpon, A Study on the Ability to Automatically Recognize Telephone-Quality Speech From Large Customer Populations, AT&T Technical Journal, vol. 64, No. 2, pp. 423-451, Feb. 1985. |
Perdue & Rissanen, Conversant 1 Voice System: Architecture and Applications, AT&T Technical Journal, vol. 65, No. 5, pp. 34-47, Sep./Oct. 1986. |
Bergh, Soong & Rabiner, Incorporation of Temporal Structure Into a Vector-Quantization-Based Processor for Speaker-Independent, Isolated-Word Recognition, AT&T Technical Journal, vol. 64, No 5, pp. 1047-1063, May/Jun. 1985. |
Juang, Maximum-Likelihood Estimation for Mixture Multivariate Stochastic Observations of Markov Chains, AT&T Technical Journal, vol. 64, No. 6, pp. 1235-1249, Aug. 1985. |
Rabiner, On the Application of Energy Contours to the Recognition of Connected Word Sequences, AT& Technical Journal, vol. 63, No. 9, pp. 1981-1995, Nov. 1985. |
Glinski, On the Use of Vector Quantization for Connected-Digit Recognition, AT&T Technical Journal, vol. 64, No. 5, pp. 1033-1045, May/Jun. 1985. |
Wattenbarger, Garberg, Halpern & Lively, Serving Customers with Automatic Speech Recognition-Human Factors Issues, AT&T Technical Journal, pp. 28-41, May/Jun. 1993. |
Ackenhusen & Oh, Single-Ship Implementation of Feature Measurement for LPC-Based Recognition, AT&T Technical Journal, vol. 64, No. 8, pp. 1787-1805, Oct. 1985. |
Ackenhusen, All, Bishop, Ross & Thorkildsen, Single-Board General-Purpose Speech Recognition System, AT&T Technical Journal, vol. 65, No. 5, pp. 48-59, Sep./Oct. 1986. |
Rabiner, Juang, Levinson & Sondhi, Some Properties of Continuous Hidden Markov Model Representations, AT&T Technical Journal, vol. 64, No. 6, pp. 1251-1270, Aug. 1985. |
Josenhans, Lynch, Rogers, Rosinski & VanDame, Speech Processing Application Standards, AT&T Technica Journal, vol. 65, No. 5, pp. 23-33, Sep./Oct. 1986. |
Crochiere & Flannagen, Speech Processing: An Evolving Technology, AT&T Technica Journal, vol. 65, No. 5, pp. 2-11, Sep./Oct. 1986. |
Wilpon, Mikkillneni, Roe & Gokcen, Speech Recognition: From the Laboratory to the Real World, AT& Technical Journal, pp. 14-23, Sep./Oct. 1990. |
Atal & Rabiner, Speech Research Directions, AT&T Technical Journal, vol. 65, No. 5, pp. 75-88, Sep./Oct. 1986. |
DeMori, Palakal & Cosi, Perceptual Models for Automatic Speech Recognition Systems, Advances in Computers, vol. 31, pp. 99-173. |
Holmgren, Toward Bell System Applications of Automatic Speech Recognition, The Bell System Technical Journal, vol. 62, No. 6, pp. 1865-1879, Jul./Aug. 1983. |
Levinson, Rabiner & Sondhi, An Introduction to the Application of the Theory of Probabilistic Functions of a Markov Process to Automatic Speech Recognition, The Bell System Technical Journal, vol. 62, No. 4 pp. 1035-1074, Apr. 1983. |
Rabiner, Levinson, & Sondhi, On the Application of Vector Quantization and Hidden Markov Models to Speaker-Independent, isolated Word Recognition, The Bell System Technical Journal, vol. 62, No. 4, pp 1075-1105, Apr. 1983. |
Bourlard, Kamp, Ney & Wellekens, Speaker-Dependent Connected Speech Recognition via Dynamic Programming and Statistical Methods, Bibliotheca Phonetica, No. 12, pp. 115-148, 1985. |
Kurzweil, Beyond Pattern Recognition, BYTE, pp. 277-288, Dec. 1989. |
Waibel & Hampshire, Building Blocks for Speech, BYTE, pp. 235-245, Aug. 1989. |
Saffari, Putting DSPs to Work BYTE, pp. 259-272, Dec. 1989. |
Smarte & Penney, Sounds and Images, BYTE, pp. 243-248., Dec. 1989. |
Meisel, Talk to your Computer, BYTE, pp. 113-120, Oct. 1993. |
Kurzweil, The Technology of the Kurzweil Voice Writer, BYTE, pp. 177-186, Mar. 1986. |
Lee, Hauptmann & Rudnicky, The Spoken Word, BYTE, pp. 225-232, Jul. 1990. |
Visser, Voice Recognition Fells Technical Barriers, CTM Technology, May 1987. |
Young, Hauptmann, Ward, Smith & Werner, High Level Knowledge Souces in Usable Speech Recognition Systems, Communications of the ACM, vol. 32, No. 2, pp. 183-194, Feb. 1989. |
White, Natural Language Understanding and Speech Recognition, Communications of the ACM, vol. 33, No. 8, pp. 72-82, Aug. 1990. |
Biermann, Rodman, Rubin & Heidlage, Natural Language with Discrete Speech as a Mode for Human-to-Machine Communication, Communications of the ACM, vol. 28, No. 6, pp. 628-636, Jun. 1985. |
Bengio, Cardin, DeMori & Merlo, Programmable Execution of Multi-Layered Networks for Automatic Speech Recognition, Communications of the ACM, vol. 32, No. 2, pp. 195-199, Feb. 1989. |
Difficult Speech-Recognition Technology Shows Signs of Maturity, Computer Design, pp. 23-29, Aug. 1, 1986. |
Speech I/O Products Offer Board-level Solutions, Computer Design, pp. 36-40, Mar. 15, 1986. |
Technical Visionary, Design News, pp. 74-86, Feb. 12, 1990. |
TI Launches Second Generation Voice-Control PC Products, Design News, p. 44, Jun. 3, 1985. |
Handheld Computer Follows Voice Commands, Design News, p. 38, Mar. 7, 1988. |
Speech-Recognition Products, EDN, pp. 112-122, Jan. 19, 1989. |
John Gallant, Voice-Recognition System Learns User's vocabularies and Speaking Styles, EDN p. 106, Ma 24,1990. |
Jakatdar & Mulla, Speech Communication for Personal Computers, Electrical Communication, vol. 60, No. 1., pp. 79-86, 1986. |
Kurzweil, Better Speech Recognition Means that Computers Must Mimic the Human Brain, Electronic Design, pp. 83-84, Nov. 15, 1984. |
Costlow, Board Heeds 1000 Words with 99.3% Accuracy, Electronic Design, p. 196, Oct. 16, 1986. |
Newman, Detecting Speech with an Adaptive Neural Network, Electronic Design, pp. 79-90, Mar. 22, 1990. |
Leary & Morgan, Fast and Accurate Analysis with LPC Gives a DSP Chip Speech-Processing Power, Electronic Design, pp. 153-158, Apr. 17, 1986. |
Derman, Recognizing Voices, Electronic Engineering Times, p. 39, Jan. 31, 1994. |
I Recognize that Voice!, Electronics & Power, p. 783, Nov/Dec. 1986. |
Zollo, Digital Filter Handles 24-Bit Data, Electronics Week, pp. 105-106, Oct. 22, 1984. |
One-Card System Recognizes Words in a Sentence with 90% Accuracy, Electronics Week, pp. 17-19, Oct. 15, 1984. |
Chips Recognize Speech, Electonics World & Wireless World, p. 137, Feb. 1990. |
Stommen, Talking Back to Big Bird: Preschool users and a Simple Speech Recogniition System, ETR&D, vol. 41, No. 1, pp. 5-16. |
De Mori, Larm & Probst, Rule-Based Detections of Speech Features for Automatic Speech Features for Automatic Speech Recognition Fundamentals in Computer Understanding, pp. 155-179. |
Rayfield & Silverman, An Approach to DFT Calculations Using Standard Microprocessors, IBM J. Res. Develop, vol. 29, No. 2, pp. 170-176, Mar. 1985. |
Black, An Experiment in Computational Discrimination of English Word Senses,IBM J. Res Develp, vol. 32, No. 2, pp. 185-194, Mar. 1988. |
Kurtzberg, Feature Analysis for Symbol Recognition by Elastic Matching, IBM J. Res Develop, vol. 31, No. 1, pp. 91-95, Mar. 1987. |
D'Orta, Ferretti, Martelli, Melecrinis, Scarci & Volpi, Large-Vocabulary Speech Recognition: A System for the Italian Language, IBM J. Res Develop, vol. 32, No. 2, pp. 217-228, Mar. 1988. |
Merialdo, Multilevel Decoding for Very-Large-Size-Dictionary Speech Recognition, IBM J. Res Develop, vol. 32, No. 2, pp. 227-237, Mar. 1988. |
Soltis, Automatic Identification Systems: Strengths, Weaknesses and Future Trends, IE, pp. 55-59, Nov. 1985. |
Madhavan, Minimal Repetition Evoked Potentials by Modified Adaptive Line Enhancement, IEEE Transactions on Biomedical Engineering, vol. 39, No. 7, pp. 760-764, Jul. 1992. |
Pezeshki, Elgar, Krishna & Burton, Auto and Cross-Bispectral Analysis of a System of Two Coupled Oscillators With Quadratic Nonlinearities Possessing Chaotic Motion, Journal of Applied Mechanics, vol. 59, pp. 657=14 663, Sep. 1992. |
Mullick & Reddy, Channel Characterization Using Bispectral Analysis, Proceedings of the IEEE, vol. 76, No. 1, pp. 88-89, Jan. 1988. |
Nikias & Raghuveer, Bispectrum Estimation: A Digital Signal Processing Framework, Proceeding of the IEEE, vol. 75, No. 7, pp. 869-891, Jul. 1987. |
Matsuoka & Ulrych, Phase Estimation Using the Bispectrum, Proceedings of the IEEE, vol. 72, No. 10, pp. 1403-1411, Oct. 1984. |
McKee, TMS32010 Routine Finds Phase, EDN, p. 148, May 10, 1990. |
Nikais & Liu, Bicepstrum Computation Based on Second- and Third-Order Statistics with Applications, IEEE, pp. 2381-2385, 1990. |
Noonan, Premus & Irza, AR Model Order Selection Based on Bispectral Cross Corretion, IEEE Transactions on Signal Processing, Vol 39, No. 6, pp. 1440-1443, June 1991. |
Jouny & Moses, The Bispectrum of Complex Signals Definitions and Properties, IEEE, pp. 2833-2837, IEEE Transactions on Signal Processing, vol. 40, No. 11, pp. 2833-2836, Nov. 1992. |
Kim & Hayes, Phase Retrieval Using a Window Function, IEEE Transactions on Signal Processing, vol. 41, No. 3, pp. 1409=14 1415, Mar. 1993. |
Wilkes & Cadzow, The Effects of Phase on High-Resolution Frequency Estimators, IEEE, Transactions on Signal Processing, vol. 41, No. 3, pp. 1319-1330, Mar. 1993. |
Nikais, ARMA Bispectrum Approach to Nonminimum Phase System Identification, IEEE Transactions on Acoustics, and Signal Processing, vol. 36, No. 4, pp. 513-524, Apr. 1988. |
Nikias & Chiang, Higher-Order Spectrum Estimation Via Noncausal Autoregressive modeling and Deconvolution, IEEE. Transactions on Acoustics, Speech and Signal Processing, vol. 36, No. 12, pp. 1911-1913 Dec. 1988. |
Chazan, Medan & Shvadron, Noise Cancellation for Hearing Aids, IEEE Transactions on Acoustics, Speech and Signal Processing, vol. 36, No. 11, pp. 1697-1705. |
Jensen, High Frequency Phase Response Specifications--Useful or Misleading?, J. Ado Eng. Soc., vol. 36, No. 12, pp. 968-975, Dec. 1988. |
Nikias & Pan, ARMA Modeling of Fourth-Order Cumulants and Phase Estimation, Circuits Systems Signal Process, vol. 7, No. 3, pp. 291-325, 1988. |
Borg, A Broad-Band Amplitude-Independent Phase Measuring System, J. Phys. Sci. Instrum, vol. 20, pp. 1216-1220, 1987. |
Keurs, Festen & Plomp, Effect of Spectral Envelope Smearing on Speech Receptions, II, J. Acoust Soc. Am. vol. 93, No. 3, pp. 1547-1552, Mar. 1993. |
Moore, Peters & Glasberg, Detections of Temporal Gaps in Sinusoids: Effects of Frequency and Level, J. Acoust. Soc. Am. vol. 93, No. 3, pp. 1563-1570, Mar. 1993. |
Bartelt, Lohmann, & Wimitzer, Phase and Amplitude Recovery From Bispectra, Appfied Optics, vol. 23, No. 18, pp. 3121-3129, Sep. 15, 1984. |
Moss & Simmons, Acoustic Image Representation of a Point Target in the Bat Eptesicus fuscus: Evidence for Sensitivity to Echo Phase in Bat Sonar, J. Acoust. Soc. Am., vol. 93, No. 3, pp. 1553-1562, Mar. 1993. |
Kniffen, Becher & Powers, Bispectral magnitude and Phase Recovery Using a Wide Bandwidth Acousto- Optic Processor, Applied Optics, vol. 3, No. 8, pp. 1015-1029, Mar. 10, 1992. |
Kauderer, Becker & Powers, Acousto-optical Bispectral Processing, Applied Optics, vol. 28, No. 3, pp. 627=14 637, Feb. 1, 1989. |
Kikuta, Iwata & Nagata, Distance Measurement by the Wavelength Shift of Laser Diode Light, Applied Optics, vol. 25, No. 17, pp. 2976-2980, Sep. 1, 1988. |
Glindemann & Dainty, Object Fitting to the Bispectral Phase by Using Least Squares, J. Opt. Soc. Am. A, vol. 10, No. 5, pp. 1056-1063, May 1993. |
Nakajima, Signal-to-Noise Ratio of the Bispectral Analysis of Speckle Interferometry, J. Opt. Am. A., vol. 5, No. 9, pp. 1477-1491, Sep. 1988. |
Perez-Ilzarbe, Phase Retrieval From the Power Spectrum of a Periodic Object, J. Opt. Soc. Am. A., vol. 9, No. 12, pp. 2138-2148, Dec. 1992. |
Nakajima, Phase Retrieval Using The Logarithmic Hilbert Transform and the Fourier-Series Expansion, J. Opt. Sec. Am. A, vol. 5, No. 2, pp. 257-262, Feb. 1988. |
Kim & Hayes, Phase Retrieval Using Two Fourier-Transform Intensities, J. Opt. Soc. Am. A, vol. 7, No. 3, pp. 441-449, Mar. 1990. |
Marron Sanchez & Sullivan, Unwrapping Algorithm for Least-Squares Phase Recovery from the Modula 2.pi.Bispectrum Phase, J. Opt. Sec. Am. A, vol. 7, No. 1 , pp. 14-20, Jan. 1990. |
Rao & Gabr, An Introduction to Bispectral Analysis and Bilinear Time Series Models, Book Reviews, pp. 326=14 329. |
Bristow, Electronic Speech Recognition, ISBN, 1986. |
Linear Prediction of Speech. |
Tribolet, A New Phase Unwrapping Algorithm, IEEE Transactions on Acoustic, Speech and Signal Processing vol. ASSP-25, No. 2, pp. 170-177, Apr. 1977. |
Lyons, Chirp-Z Transform Efficiently Computes Frequency Spectra, EDN, pp. 161-170, May 25, 1989. |
Springer, Sliding FFT Computers Frequency Spectra in Real Time, EDN, pp. 161-170, Sep. 29, 1988. |
Harris, On The Use of Windows for Harmonic Analysis with the Discrete Fourier Transform, Proceeding of the IEEE, vol. 66, No. 1, pp. 51-83, Jan. 1978. |
Oppenheim, Digital Processing of Speech, Digital Processing in Audio Signals, pp. 117-168. |
Wakita, Normalization of Vowels by Vocal-Tract Length and Its Application to Vowel Identification, IEE Transactions on Acoustics, Speech and Signal Processing, vol. ASSP-25, No. 2, pp. 183-192, Apr. 1977. |
Wheddon & Linggard, A Novel Speech Noise Suppressor, Speech and Language Processing. |
Lee, Automatic Speech Recognition, 1989. |
Ince, Digital Speech Processing, 1992. |
Wheddon & Linggard, Speech and Language Processing, ISBN, 1990. |
Dix & Bloodthooft, A New technique for Automatic Segmentation of Continuous Speech, NATO ASI Series, vol. F75, pp. 543-548, 1992. |
Laface & DeMori, Speech Recognition and Understanding, Series F. Computer and Systems Sciences vol. 75, 1991. |
Bringham, The Fast Fourier Transform and its Applications, Prentice Hall Signal Processing Series. |
Saito, Speech Science and Technology, IOS Press. |
Business System Recognizes Spoken English Sentences, Computer, pp. 94-95, Jan, 1985. |
Peacocke & Graf, An Introduction to Speech and Speaker Recognition, Computer, pp. 26-33, Aug. 1990. |
Tunick, Signal-Processing Technique Takes Voice Coding to Extremes, Electronic Design, pp. 67-68, Aug. 6, 1987. |
Al Fine-Tunes Speech Recognition, Electronics, pp. 24-25, May 19, 1986. |
DSP Boards Help Tackle a Tough Class of AL Tasks, Electronics, pp. 64-66, Aug. 21, 1986. |
Naegele, Graphics Tablet Tales to Compete with Mouse, Electronics, p. 14, Oct. 1986. |
Scoring 98.6% in Speech Recognition, Electronics, p. 41, Oct. 2, 1986. |
Rosenberg, Speech Processing: Hearing Better, Talking More, Electronics, pp. 26-30, Apr. 21, 1986. |
Mercer & Cohen, A Method for Efficient Storage and Rapid Application of Context-Sensitive Phonologica Rules for Automatic Speech recognition, IBM J. RES DEVELOP vol. 31, No. 1, pp. 81-90, Mar. 1987. |
Wu & Chan, Isolated Word Recognition by Neural Network Models With Cross-Correlation Coefficients for Speech Dynamics, IEEE Transactions on Pattern Analysis and Machine Intelligence vol. 15, No. 11, pp. 1174-1185, Nov. 1993. |
Pisoni, Nusbaum & Greene, Perception of Synthetic Speech Generated by Rule, IEE Proceedings, vol. 73, No. 11, p. 1665, Nov. 1985. |
Whipple, Low Residual Noise Speech Enhancement Utilizing Time-Frequency Filtering IEEE, 1994. |
Das, Nadas, Nahamoo & Picheny, Adaptation Techniques for Ambience and Microphone Compensation in the IBM Tangora Speech Recognition System, IEEE 1994. |
Niranjan, Recursive Tracking of Formants in Speech Signals, IEEE 1994. |
Laprice & Berger, A New Paradigm for Reliable Automatic Formant Tracking, IEEE 1994. |
Kuabara, An Approach to Normalization of Coarticulation Effects for Vowels in Connected Speech, J. Accoustical Society of America, pp. 686-694, Feb. 1985. |
Qi & Fox, Analysis of Nasal Consonants Using Perceptual Linear Prediction, J. Accoustical Society of America, pp. 1718-1726, Mar. 1992. |
Shigeno, Assimilation and Contrast in the Phonetic Perception of Vowels, J. Accoustical Society of America, pp. 103-111, Jul. 1991. |
Yuhas & Goldstein, Comparing Human and Neural network Lip Readers, J. Accoustical Society of America, pp. 598-600, Jul. 1991. |
Repp, Perception of the [m]-[n] Distinction in CV Syllables, J. Accoustical Society of America, pp. 1987-1999 Jun., 1986. |
Sole, Phonetic and Phonological Processes: The Case of Nasalization, Language and Speech, 1992, 35 (1,2), 29-43. |
Schmidbauer, Casacuberta, Castro, Hegerl, Hoge, Sanchez & Zlokamik, Articulatory Representation and Speech Technology, Language & Speech-1993, 36 (2,3) 331-351. |
Owens, Signal Processing of Speech, McGraw-Hill, Inc., 1993, 1-9, 35-39, 70-72, 74-80, 85-87. |
Rabiner, Schafer, Digital Processing of Speech Signals, Prentice-Hall Inc., 1978, pp. 38-47, 116-123, 130-135, 462-463, 489-490. |