1. Field of the Invention
The invention relates to a method for operating a hearing aid, as well as to a hearing aid system with at least two microphones and a signal processing unit.
2. Description of the Prior Art
Wind frequently causes unpleasant disturbing noises for the wearer of a hearing aid. In order to reduce such wind noise, it is known to fit the microphone openings so as to protect them from the wind as much as possible. It is also known to provide hearing aid microphones with a diaphragm in order to reduce instances of turbulence caused by wind. Such measures are disclosed, for example, in PCT Application WO 00/02419 and German PS 44 26 967.
German PS 44 98 516 discloses a directional gradient microphone system and a method for operating it employing three microphones and a processor. Owing to the arrangement of the three microphones on a common axis, it is only sound waves incident in the direction of the common axis which are processed after being converted into electric signals, whereas sound waves caused by wind noises, for example, after being converted into electric signals, virtually no longer occur in the output signal of the directional gradient microphone system. This known directional gradient microphone system has the disadvantage, however, that it is possible to suppress wind noises only in conjunction with a strong directional dependence in the reception of incoming sound waves.
It is a disadvantage in known hearing aids that success in removing wind noises is therefore frequently inadequate.
It is an object of the present invention to provide a method for operating a hearing aid or hearing aid system, and a hearing aid or hearing aid system, wherein the comfort in wearing the hearing aid or hearing aid system in windy surroundings is improved.
The above object is achieved in accordance with the principles of the present invention and that a hearing aid arrangement, such as a hearing aid or a hearing aid system, and a method for operating a hearing aid arrangement, wherein these two microphones are provided in the hearing aid arrangement, and wherein respective signals from the microphones are analyzed to detect whether winded noises are present, and wherein one or more measures for reducing the winded noises are activated automatically if winded noises are detected.
In contrast to known approaches to the avoidance of wind noises, in which an attempt is made to avoid the wind noises by external measures at the hearing aid, the invention adopts the approach of detecting and removing wind noises by electronic signal processing. This has the advantage that the microphones of the hearing aid can be placed in the housing so as to ensure the best possible reception of the useful signals, nor is there any need to fit an additional diaphragm, which causes undesired damping of the useful signal. The output signals of at least two microphones are analyzed in order to detect wind noises. The microphones in this case can be located in a hearing aid, but it is also possible to evaluate microphone signals of a hearing aid system (consisting, for example, of two hearing aids for one binaural supply).
The invention is distinguished in that measures for avoiding wind noises are not taken until wind noises are actually present. In order to detect wind noises, the invention utilizes the effect that there is a high degree of correlation between the microphone signals generated by the spatially separate microphones of a hearing aid or hearing aid system, which are caused by useful sound, indeed even by noise. By contrast, wind noises are generated chiefly by instances of turbulence at the microphone openings. The microphone signals caused by wind of a number of microphones therefore are uncorrelated to a high degree. This difference is exploited advantageously for the purpose of detecting wind noises.
In an embodiment of the inventive method, in order to determine the correlation of microphone signals of different microphones, the microphone signals are subtracted from one another. The higher the degree of correlation between the microphone signals, the lower the result of the subtraction will be, on average. The values which are obtained on average by subtracting two microphone signals therefore constitute a measure of the correlation of the microphone signals. A simple smoothing can be carried out in this case as a simple way of averaging the result of the subtraction. This can be implemented, for example, by low pass filtering. In order to decide whether the microphone signals constitute wind noises, the result of the subtraction, preferably after smoothing, is compared with a threshold value. If the smoothed signal overshoots the threshold value, wind noises are deemed to be present. It is therefore possible to initiate signal processing measures yet to be explained. If the threshold value is not reached, there is no need for measures to reduce wind noises.
In order to avoid frequently switching the status of the signal processing unit, in an embodiment of the method of the invention, measures for reducing wind noises are not activated or deactivated until the threshold value is continuously overshot, respectively, or undershot for a specific period of time.
Furthermore, in another embodiment of the inventive method, two threshold values are determined which must be continuously overshot or undershot for a specific period of time in order to switch the signal processing unit. This prevents frequent switching of the signal processing unit of the hearing aid in the event of wind noises which are just on the threshold of detection as such. The two threshold values therefore form a type of hysteresis in the detection of wind noises.
In order to determine the correlation between two or more signals, in addition to the above-described method, still further methods are known which can be used within the scope of the invention to determine the correlation between microphone output signals. However, the above-described method constitutes a version which is particularly simple to implement.
If wind noises have been established by an analysis of the microphone signals, suitable measures are to be taken in the processing of the microphone signals such that the wind noises are reduced. Examples of such measures are outlined below:
A suitable measure for suppressing wind noises is to switch microphone system of the hearing aid from a directional model to an omnidirectional mode. Specifically, directional microphone systems react more sensitively to wind than non-directional microphone systems. Certainly, directional action of the hearing aid is worsened by this measure, but the wind noises nevertheless are reduced.
Another measure for reducing detected wind noises is to filter the microphone signals. Use is made for this purpose of the fact that the disturbing noises caused by wind are situated predominantly in the low frequency band. Low frequencies can be damped by appropriate high pass filtering, and the wind noises thus can be effectively suppressed. The hearing aid is therefore put into a type of “tweeter operating mode”, in which, essentially, only higher-frequency signal components of the microphone signals are further processed and amplified.
A further measure as a reaction to detected wind noises is to adapt the acting times of the AGC (Automatic Gain Control). Since wind noises are very different as regards both the temporal sequence and the loudness level, these constitute a significant problem in automatic control processes within the signal processing of a hearing aid such as, for example, the Automatic Gain Control (AGC). It is therefore expedient to select time constants which are as long as possible in the corresponding acting times. A relatively long response and decay time of AGC can therefore be set as reaction to detected wind noises.
A further measure is implemented in the further processing, whereby similar only signal components of the output signals of at least two microphones are further processed for reducing detected wind noises. Only signal components of output signals which emanate from one microphone are filtered out. The filtering can be performed, for example, by means of a subtraction filter. As in the above-described method for detecting wind noises, the invention also takes advantage in this case of the fact that the signal components caused by wind in microphone output signals are largely uncorrelated and therefore do not emanate in the same form from any further microphone. If only those signal components are further processed which essentially emanate in a similar way from a number of microphones, the wind noises are largely eliminated.
In addition to the above-identified individual measures for reducing wind noises, arbitrary combinations of these measures can be used in accordance with the invention. These also can vary; depending on the frequency and loudness level of the wind noises.
The invention can be employed in the case of all current types of hearing aids such as, for example, in hearing aids worn behind the ear, in hearing aids worn in the ear, in implantable hearing aids or in pocket aids. Electroacoustic transducers come into consideration as input transducers, while electromechanical, electromagnetic or electric transducers (for example for directly stimulating hearing cells) also come into consideration as output transducers. Furthermore, a hearing aid system formed by a number of aids, such as a hearing aid system with two hearing aids worn on the head for the purpose of binaural supply, also can be used. The microphone signals which are analyzed in order to detect wind noises then also can emanate from different aids.
Furthermore, the measures for reducing detected wind noises are not limited to the variation of parameters of the signal processing unit. Thus, for example, as reactions to detected wind noises it is also possible to switch off microphones, to vary the cross section of sound inlets of microphones, or to open or close sound inlets of microphones.
The hearing aid can react to detected wind noises in multiple ways shown by example below, the automatic control being performed by means of the signal processing unit SV:
In a first measure 1 for reducing wind noises in the hearing aid in accordance with the exemplary embodiment with the exception of the microphones M1, M2 required for detecting wind noises, the microphones M3, M4 . . . , MN are switched off. This is illustrated graphically in
A further measure is to vary the directional characteristic of the hearing aid. This option is based on the finding that directional microphone systems react more sensitively to wind than omnidirectional microphone systems do. This measure is illustrated in
Furthermore, the noises caused by wind are situated predominantly in the low frequency, audible frequency band. Consequently, another measure for reducing noises caused by wind is high pass filtering.
In hearing aids, disturbances caused by wind in a secondary fashion can occur in addition to the disturbances caused in a primary fashion in the form of wind noises. Such disturbances relate, in particular, to automatically proceeding control and adaptation processes of the signal processing of the hearing aid. AGC (Automatic Gain Control) may be named for this by way of example. Because of the output signals of the microphones, this automatic gain control tries to cause operation of a situation-dependent setting of the loudness level control of the hearing aid, in particular reduction of the gain in the case of very loud input levels. Since wind noises differ strongly from one another with reference to their loudness level and their duration, and the period of time between successive wind noises can vary strongly, because of the wind noises the internal AGC of the hearing aid will change the loudness level setting of the hearing aid very frequently. This leads to a “pumping effect” which is unpleasant to the wearer of a hearing aid. The response and delay times of the AGC are lengthened in the event of detected wind noises as a measure against this effect. The reaction times of the AGC are slowed down thereby. This is illustrated in
A further measure for reducing detected wind noises is the application of a subtraction filter. Such a subtraction filter ensures that, of the signal components of the output signals of a number of microphones, only those signal components which emanate equally from all these microphones are further processed and fed to the earphone H. Uncorrelated wind noises which emanate from only one microphone in each case are suppressed. The graphic illustration of this is represented by the symbol 8 in
Measures of a mechanical nature are also conceivable in addition to the previously described measures, which chiefly relate to signal processing. Thus, sound channels to the microphones can be automatically narrowed or closed, or wind shields can be flapped open or aligned in front of the microphone openings. These measures are illustrated in
In the event of detected wind noises, in the hearing aid in accordance with the invention the above-described measures can be carried out for the purpose of reducing the wind noises individually or in an arbitrary combination, including as a function of the level and frequency of the wind noises occurring.
In the flowchart in accordance with
In the event of the detection of wind noises, the indicated cycle of signal processing with the two threshold values T1 and T2 results in a hysteresis which prevents very frequent switching over of the hearing aid between the operating states of “wind” and “no wind”. A further measure for preventing frequent switching over is formed by the invention in that the states Z1 to Z3 are changed only when the difference signal continuously overshoots or undershoots the threshold values for a specific period of time which can be set.
Number | Date | Country | Kind |
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100 45 197 | Sep 2000 | DE | national |
Number | Name | Date | Kind |
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5463694 | Bradley et al. | Oct 1995 | A |
5524056 | Killion et al. | Jun 1996 | A |
5793875 | Lehr et al. | Aug 1998 | A |
5917921 | Sasaki et al. | Jun 1999 | A |
5933506 | Aoki et al. | Aug 1999 | A |
Number | Date | Country |
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OS 44 26 967 | Jul 1994 | DE |
WO 0002419 | Jan 2000 | WO |
Number | Date | Country | |
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20020037088 A1 | Mar 2002 | US |