WO2007131815A1 - Hearing device and method for operating a hearing device - Google Patents
Hearing device and method for operating a hearing device Download PDFInfo
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- WO2007131815A1 WO2007131815A1 PCT/EP2007/052281 EP2007052281W WO2007131815A1 WO 2007131815 A1 WO2007131815 A1 WO 2007131815A1 EP 2007052281 W EP2007052281 W EP 2007052281W WO 2007131815 A1 WO2007131815 A1 WO 2007131815A1
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- audio signals
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- 238000000034 method Methods 0.000 title claims abstract description 35
- 230000006870 function Effects 0.000 claims abstract description 78
- 230000000694 effects Effects 0.000 claims abstract description 74
- 238000012546 transfer Methods 0.000 claims abstract description 60
- 230000005236 sound signal Effects 0.000 claims abstract description 58
- 238000012545 processing Methods 0.000 claims description 37
- 238000012935 Averaging Methods 0.000 claims description 25
- 238000001914 filtration Methods 0.000 claims description 3
- 230000003247 decreasing effect Effects 0.000 claims description 2
- 238000004519 manufacturing process Methods 0.000 claims 1
- 230000006978 adaptation Effects 0.000 abstract description 17
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- 239000010750 BS 2869 Class C2 Substances 0.000 description 7
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- 230000003595 spectral effect Effects 0.000 description 2
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- 238000012549 training Methods 0.000 description 2
- 208000032041 Hearing impaired Diseases 0.000 description 1
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Classifications
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04R—LOUDSPEAKERS, MICROPHONES, GRAMOPHONE PICK-UPS OR LIKE ACOUSTIC ELECTROMECHANICAL TRANSDUCERS; DEAF-AID SETS; PUBLIC ADDRESS SYSTEMS
- H04R25/00—Deaf-aid sets, i.e. electro-acoustic or electro-mechanical hearing aids; Electric tinnitus maskers providing an auditory perception
- H04R25/70—Adaptation of deaf aid to hearing loss, e.g. initial electronic fitting
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04R—LOUDSPEAKERS, MICROPHONES, GRAMOPHONE PICK-UPS OR LIKE ACOUSTIC ELECTROMECHANICAL TRANSDUCERS; DEAF-AID SETS; PUBLIC ADDRESS SYSTEMS
- H04R2225/00—Details of deaf aids covered by H04R25/00, not provided for in any of its subgroups
- H04R2225/41—Detection or adaptation of hearing aid parameters or programs to listening situation, e.g. pub, forest
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04R—LOUDSPEAKERS, MICROPHONES, GRAMOPHONE PICK-UPS OR LIKE ACOUSTIC ELECTROMECHANICAL TRANSDUCERS; DEAF-AID SETS; PUBLIC ADDRESS SYSTEMS
- H04R25/00—Deaf-aid sets, i.e. electro-acoustic or electro-mechanical hearing aids; Electric tinnitus maskers providing an auditory perception
- H04R25/50—Customised settings for obtaining desired overall acoustical characteristics
- H04R25/502—Customised settings for obtaining desired overall acoustical characteristics using analog signal processing
Definitions
- the invention relates to a method for operating a hearing device and to a hearing device.
- a hearing device a device is understood, which is worn adjacent to or in an individual's ear with the object to improve the individual's acoustical perception. Such improvement may also be barring acoustical signals from being perceived in the sense of hearing protection for the individual.
- the hearing device is tailored so as to improve the perception of a hearing impaired individual towards hearing perception of a "standard" individual, then we speak of a hearing-aid device.
- a hearing device may be applied behind the ear, in the ear, completely in the ear canal or may be implanted.
- a hearing system comprises at least one hearing device.
- a hearing system comprises, in addition, another device, which is operationally connected to said hearing device, e.g., another hearing device or a remote control.
- Modern hearing devices in particular, hearing-aid devices, when employing different hearing programs (typically two to four; also referred to as audiophonic programs), permit their adaptation to varying acoustic environments, also referred to as acoustic scenes or acoustic situations.
- the idea is to optimize the effectiveness of the hearing device for the hearing device user in all situations.
- the hearing program can be selected either via a remote control or by means of a selector switch on the hearing device itself.
- having to switch program settings is a nuisance, or it is difficult, or even impossible.
- An automatic recognition of the acoustic scene and a corresponding automatic switching of the program setting in the hearing device is therefore desirable.
- the switch from one hearing program to another can also be considered a change in a transfer function of the hearing device, which transfer function describes how input audio signals generated by an input transducer unit of the hearing device relate to output audio signals to be fed to an output transducer unit of the hearing device.
- acoustic environments also referred to as acoustic surroundings
- the methods concerned involve the extraction of different characteristics from an input signal.
- a pattern-recognition unit employing a particular algorithm makes a determination as to the attribution of the analyzed signal to a specific acoustic environment.
- classification methods and their application in hearing systems the following publications shall be named: WO 01/20965 A2, WO 01/22790 A2 and WO 02/32208 A2.
- the program change based on the classification result provides for an optimum hearing sensation for the user. It is desirable to provide for an improved automatic adaptation of the transfer function of the hearing device to a current (actual) acoustic environment.
- WO 99/65275 Al discloses a device, e.g., a hearing device, with a signal processor, wherein parameters of the signal processor are directly steered in dependence of input signals.
- One object of the invention is to create a hearing device and a method for operating a hearing device, which provide for an improved automatic adaptation of its transfer function to a current acoustic environment.
- Another object of the invention is to provide for a flexibly adjustable way for automatically adapting the transfer function to a current acoustic environment.
- Another object of the invention is to provide for a safe and robust way for automatically adapting the transfer function to a current acoustic environment.
- Another object of the invention is to avoid that a user of the hearing device is annoyed by repeated recognizable changes in the transfer function.
- the method for operating a hearing device having an adjustable transfer function comprising M sub-functions, wherein M is an integer with M ⁇ 1, and wherein said transfer function describes how input audio signals generated by an input transducer unit of said hearing device relate to output audio signals to be fed to an output transducer unit of said hearing device, comprises the steps of deriving said input audio signals from a current acoustic environment; and for each of said M sub-functions:
- the method may be considered a method for adapting a transfer function of a hearing device to a current acoustic environment or to changes in an acoustic environment.
- the hearing device comprises
- an input transducer unit for deriving input audio signals from a current acoustic environment
- an output transducer unit for receiving output audio signals; a signal processing unit for deriving said output audio signals from said input audio signals by processing said input audio signals according to an adjustable transfer function, which adjustable transfer function describes how said input audio signals relate to said output audio signals and comprises M sub-functions, wherein M is an integer with M > 1;
- a classifier unit for deriving, on the basis of said input audio signals and for each class of N classes each of which describes a predetermined acoustic environment, a class similarity factor indicative of the similarity of said current acoustic environment with the predetermined acoustic environment described by the respective class, wherein N is an integer with N > 2;
- a base parameter storage unit storing, for each of said M sub-functions, N predetermined base parameter sets each assigned to a different class of said N classes;
- a processing unit operationally connected to said base parameter storage unit and adapted to deriving an activity parameter set for each of said M sub- functions, wherein each of said activity parameter sets is derived in dependence of said class similarity factors from the base parameter sets assigned to the respective sub-function; wherein each of said M sub-functions is adjusted by means of the respective activity parameter set.
- the hearing device has a number of base parameter sets. These will usually be selected such that, applied to the transfer function (or, more particularly, each applied to the corresponding sub- function) , they provide for an optimum hearing sensation in a predetermined acoustic environment.
- the base parameter sets may be found during a fitting procedure (also referred to as adaptation procedure or as training procedure), e.g., in a manner that is known from hearing-aid devices with a number of hearing programs between which one can switch.
- the hearing device During the normal operation of the hearing device (which is different from a fitting or training phase) , the current acoustic environment is analyzed, and a vector is derived, which contains information on the likenesses (similarities) of the current acoustic environment and each of the predetermined acoustic environments. Instead of only being able to simply choosing that one base parameter set belonging to the highest similarity value, the hearing device is capable of weighting the base parameter sets in dependence of their corresponding similarity value. This way, transfer function parameters can be adapted to changes of the acoustic situation in a continuous way. This adaptation is based on predetermined settings, which provides for robustness and reproducibility.
- a continuous mixture of hearing programs is achieved by mixing, in dependence of the current acoustic environment, parameters of the transfer function within the framework of predetermined base parameter settings.
- the invention takes into account that real-world acoustic environments seldomly correspond to pure sound classes like (pure) "music”, (pure) “speech” or (pure) “speech in noise”, but mostly have aspects of various classes. It takes also into account the existing knowledge of the fitter to define base parameter sets optimized for pure sound situations and builds upon this know-how.
- the invention may be considered to provide for a "mixed- mode classification" or for a “mixed-program mode”.
- a class similarity factor indicative of the similarity of said current acoustic environment with the predetermined acoustic environment described by the respective class .
- Said similarity values can be obtained in a straightforward manner from evaluating the differences between a classification result for the current acoustic environment and the classification result for each of said predetermined acoustic environments. E.g., euclidian distances or multivariate variance analysis can be used for obtaining such a difference.
- the invention allows to prevent the occurrence of repeated strong changes in the transfer function, since it is possible to smoothly change transfer function parameters.
- the invention provides for reliable and predictable changes in the transfer function, since the framework of the base parameter sets avoids that parameters change in an undesired way or develop towards strange, inadequate settings. The latter might happen in solutions with an "automatic" adaptation of parameter sets based upon artificial cost functions, which do not fully reflect the full set of human audiological perception.
- the invention is particularly useful also in hearing systems comprising two hearing devices (one dedicated to each ear of the user) , in particular if the two hearing devices cannot communicate with each other, since differences in the transfer function changes between the two hearing devices - in particular if occuring in a stepwise manner - may be easily recognizable by the user and can be rather disturbing.
- the transfer function may and usually will comprise two or more sub-functions, which shall undergo changes when the acoustic environment changes.
- the transfer function through which usually many kinds of signal processing can be realized (including filtering, amplifying, compressing and many others), is subdivided into a number of meaningfully combined parts (the sub-functions) , and at least some of the sub-functions can be controlled by an associated activity parameter set.
- a sub-function e.g., beam forming, noise cancelling, feedback cancelling, dynamics processing or filtering, may be realized.
- An advantage of subdividing the transfer function into a number of sub-functions is, that specifying a sub-function and verifying that a sub-function is working correctly, is simpler than doing so with a very complex transfer function as a whole.
- An activity parameter set may be several (two, three, four or more) parameters (values, numbers) , but it may also be just one value or, in particular, one number, which could be considered a strength or an activity setting.
- Such a one-number strength may, e.g., range from "off” to "fully on” (or from 0 to 1 or from 0 % to 100 %) and indicate the degree to which the corresponding sub-function shall take effect or be in force.
- the activity setting could range from an omni-directional polar pattern to a maximally focussed directional characteristic typically towards the front (nose) of the hearing device user.
- the activity parameter sets are obtained in dependence of the current acoustic environment. Accordingly, parameters of activity parameter sets are not predetermined and fixed.
- the value or values making up an activity parameter set are, during normal operation of the hearing device, frequently, typically quasi-continuously, re-calculated and updated. Therefore, the activity parameter sets are dynamic parameters sets. Accordingly, they can be considered sets of signals, referred to as activity signal sets.
- a class weight factor is derived from the corresponding class similarity factor, and, for each of said M sub-functions, said deriving of said activity parameter set comprises weighting each base parameter set assigned to the respective sub-function with the corresponding class weight factor.
- Said deriving of said class weight factors may comprise, for at least one of said N classes, multiplication with an individual class factor and/or addition of an individual class offset.
- the invention may be seen in using a time-averaged activity parameter set for controlling at least one sub-function.
- This aspect can be of great value in conjunction with the above-described aspect of the invention ("mixed-mode classification” or “mixed-program mode” aspect) , but it may be applied separately therefrom, in conjunction with any hearing device, which allows for gradual changes in the transfer function during normal operation, in particular when such changes in the transfer function are accomplished or requested automatically.
- Said activity parameter set may be just one parameter of the transfer function or a number of parameters of the transfer function.
- This second aspect of the invention allows to provide for smooth changes in the transfer function, even if rather quick back-and-forth changes occur because of strongly changing acoustic environments.
- an averaging time for said time- averaging is chosen in dependence of past changes in the activity parameter set. I.e., the averaging time is chosen differently when the activity parameter set has changed a lot in the recent past with respect to when the activity parameter set has hardly changed in the recent past.
- the averaging time may be decreased, when said past changes in the activity parameter set decrease, and increased, when the said past changes in the activity parameter set increase.
- This kind of behavior can strongly decrease annoyingly fast changes in the transfer function when they are inadequate, while allowing for fast changes in the transfer function when they are necessary.
- Fig. 1 a diagrammatical illustration of a hearing device
- Fig. 2 a diagrammatical illustration of a hearing device
- Fig. 3 an illustration of an activity parameter and a corresponding time-averaged activity parameter as a function of time;
- Fig. 4 an exemplary embodiment of an averaging unit.
- Fig. 1 shows a diagrammatical illustration of a hearing device 1, which comprises an input transducer unit 2, e.g., a microphone or an arrangement of microphones, for transducing sound from the current (actual) acoustic environment into input audio signals Sl, wherein audio signals are electrical signals, of analogue and/or digital type, which represent sound.
- the input audio signals Sl are fed to a signal processing unit 3 for processing according to a transfer function G, which can be adapted to the needs of a user of the hearing device in dependence of said current acoustic environment.
- the transfer function G is or comprises at least one sub-function.
- the transfer function G is or comprises only one sub- function gl, which is realized in a signal processing circuit 3/1.
- Said signal processing circuit 3/1 may, e.g., provide for beam forming or for noise suppression or for another part of the transfer function G.
- the signal processing circuit 3 derives output audio signals S2, which are fed to an output transducer unit 5, e.g., a loudspeaker.
- the output transducer unit 5 transduces the output audio signals S2 into signals to be perceived by the user of the hearing device, e.g., into acoustic sound, as indicated in Fig. 1.
- An automatic adaptation of the transfer function G to said current acoustic environment is accomplished in the following manner:
- the input audio signals Sl are fed to a classifier unit 4, in which said current acoustic environment is classified, wherein any known classification method can in principle be used.
- the current acoustic environment, represented by the input audio signals Sl is compared to N predetermined acoustic environments, each described by one class of a set of N predefined classes Cl...CN.
- a set of N class similarity factors pl...pN is output, wherein each of the class similarity factors pl...pN is indicative of the similarity of said current acoustic environment with the respective predetermined acoustic environment of classes Cl...CN or, put in other words, of the likeness (resemblance) of said current acoustic environment and the respective predetermined acoustic environment, or, expressed differently, of the degree of correspondence between said current acoustic environment and the respective predetermined acoustic environment.
- the classification may be accomplished in various ways known in the art.
- the input audio signals Sl may be fed to a feature extractor FE, in which a set of (technical, auditory or other) features are extracted from the input audio signals Sl. That set of features is analyzed and classified in a classifier C, which also provides for further processing in order to derive said class similarity factors pl...pN.
- a feature extractor FE in which a set of (technical, auditory or other) features are extracted from the input audio signals Sl. That set of features is analyzed and classified in a classifier C, which also provides for further processing in order to derive said class similarity factors pl...pN.
- Typical classes may be "speech”, “speech in noise”, “noise”, “music” or others.
- Typical features are, e.g., spectral shape, harmonic structure, coherent frequency and/or amplitude modulations, signal-to-noise ratio, spectral center of gravity, spatial distribution of sound sources and many more.
- the automatic adaptation of the transfer function G is on the one hand based on said class similarity factors pl...pN and on the other hand based on base parameter sets.
- Said base parameter sets are predetermined, and their respective values are usually obtained during a fitting procedure and/or may be at least partly pre-defined in the hearing device 1.
- one base parameter set Bl/1, ..., Bl/N is provided per class, Bl/1 for class Cl, Bl/2 for class C2,... and Bl/N for class CN. I.e., for each class Cl...CN and each sub-function, there is one base parameter set.
- Each base parameter set comprises data (typically one number or several numbers) , which optimally adjust the respective sub-function to the user' s needs and preferences in the respective pre-defined acoustic environment.
- the base parameter sets are mixed in dependence of their class similarity factors pl...pN. In the embodiment of Fig. 1, this is accomplished by multiplying each base parameter set Bl/1, ..., Bl/N with a respective class weight factor Pl...PN and summing up the accordingly weighted base parameter sets Bl/1, ..., Bl/N in a processing unit 8. Said multiplication and summing up of base parameter sets is done separately for each parameter of a base parameter set.
- Said class weight factors Pl...PN are derived from said class similarity factors pl...pN.
- the class weight factor Pl...PN are obtained by adding to each class similarity factor pl...pN an individual class offset 0I...0N and multiplying the result (class-wise) by an individual class factor fl...fN.
- An optional normalization of the class weight factors Pl...PN is not shown in Fig. 1. This enables an adaptation of the mixing and, accordingly, of the whole automatic adaptation behaviour, to preferences of the user.
- the processing unit 8 outputs an activity parameter set al (generally: one for each sub-function) , which is fed to the transfer function G, or, more precisely, to the respective sub-function. Accordingly, the transfer function G is adapted to the current acoustic environment in a fashion based on the predetermined base parameter sets.
- Zero beam forming activity will usually mean that an omnidirectional polar pattern of the input transducer unit 2 shall be used, and full beam forming activity will typically mean that a high sensitivity towards the front direction (along the user's nose) shall be used, with little sensitivity for sound from other directions.
- the beam former may provide for a medium emphasis of sound from the front hemisphere and only little suppression of sound from elsewhere.
- the according base parameter sets Bl/1, Bl/2 will usually be derived in a fitting procedure and indicate the amplification in dependence of incoming signal power that shall be used; characterized, e.g., in terms of decibel values characterizing the incoming signal power and compression values characterizing the steepness of increase of output signal with increase of incoming signal power.
- Bl/1 (5OdB, 2.5; 9OdB, 0.8; HOdB, 0.3; 0) indicating expansion below 5OdB, light compression up to 9OdB, strong compression up to HOdB and limiting (infinite compression) thereabove.
- Bl/1 (3OdB, 2.5; 8OdB, 0.4; 105dB, 0.2; 0) indicating expansion below 3OdB, medium compression up to 8OdB, strong compression up to 105dB and limiting thereabove.
- Bl/1 (3OdB, 2.5; 8OdB, 0.4; 105dB, 0.2; 0) indicating expansion below 3OdB, medium compression up to 8OdB, strong compression up to 105dB and limiting thereabove.
- the gain model is a linear combination of the the gain model for music and the gain model for speech, obtained in processing unit 8.
- the activity parameter set al may be identical with this linear combination.
- Such an activity parameter set al is, of course, no more just a simple strength value or an activity setting.
- Such an activity parameter set al can already be, without further processing, the parameters used in the corresponding sub-function.
- class similarity factors pi, p2 can be obtained, e.g., in the following manner (in classifier unit 4):
- a number of features is extracted from the input audio signals Sl, e.g., rather technical characteristics like the signal power between 200 Hz and 600 Hz relative to the overall signal power and the harmonicity of the signal, or auditory-based characteristics like common build-up and decay processes and coherent amplitude modulations.
- Each examined feature provides for at least one value in a feature vector.
- the feature vector might be (3.0; 2.6; 4.1); note that usually, there will typically be between 5 and 10 or even more features and vector components.
- the class similarity factors pi, p2 are a measure for the inverse distance between the feature vector of the current acoustic environment and the feature vector of class Cl and class C2, respectively.
- pi, p2 are measures for the closeness of the feature vector of the current acoustic environment and the feature vector of class Cl and class C2, respectively.
- a measure for said distance can be obtained, e.g., as the euclidian distance between the vectors, or by means of multivariate variance analysis.
- the current acoustic environment is more similar to class C2 than to class Cl, since pi ⁇ p2.
- each feature vector component corresponding to a specific feature
- a normalization during determining pl,p2 is advisable, and it is also possible to weight different features differently strong during determining pl,p2.
- a suitable normalization allows to generate class similarity factors, which lie between 0 and 1 and can therefore be expressed in percent (%), wherein the likeness of the current acoustic environment with a predetermined acoustic environment is the higher, the higher (and closer to 100 %) the corresponding class similarity factor is.
- the pi, p2 values in the two simple examples above were assumed to be class similarity factors normalized in such a way.
- Fig. 2 shows a diagrammatical illustration of a hearing device 1, which is similar to the hearing device 1 of Fig. 1; the underlying principle is basically the same as in Fig. 1.
- the hearing device 1 comprises an averaging unit 9, and at least two sub-functions gl...gM are drawn.
- the class similarity factors are processed by a processing circuit 6, which outputs the class weight factors Pl...PN.
- the processing circuit 6 may perform various calculations, in particular take care of individual adaptations as provided by fl...fN and 0I...0N (see Fig. 1) .
- the averaging unit 9 outputs time-averaged activity parameter sets al*...aM*, which are used for steering the sub-functions gl...gM.
- a preferable behaviour of the adaptation of the transfer function G shall, as far as possible, fulfill the following points : 1. Upon a changing acoustic situation, the hearing device shall change its signal processing sufficiently fast, but as inconspicuous to the user as possible. This should provide for an optimum performance during most of the time. 2. In a constantly strongly changing situation, however, the user shall not be annoyed by the partly significant changes in signal processing, which would be needed for a full adaptation to different acoustic environments.
- the hearing device shall (again) react fast upon a detected significant change in the acoustic environment.
- Fig. 3 is a schematic illustration of an activity parameter al and a corresponding time-averaged activity parameter al* as a function of time t, which shall illustrate the above-depicted behaviour, wherein - for reasons of simplicity - only one parameter of an activity parameter set, or an activity parameter set comprising only one parameter is assumed.
- al* will not fully follow al. Later then, when changes in al become weaker, al* slowly drifts towards al. Finally, after quite a while of approximately constant conditions, a rapid strong change in al will be followed by al* rather quickly and in full.
- the averaging unit 9 receives al(t) and outputs al*(t).
- the averaging time ⁇ , during which al(t)- values are averaged, is controlled in dependence of past al (t ) -values .
- al(t) is fed to a differentiator 91, which outputs a value representative of the derivative of al(t), i.e., a measure for the changes in al(t) .
- the absoulte value is taken (reference 92), which then is integrated (summed up) in a leaky integrator 93.
- the time, until which the circuit reacts again to a fast change of the input after a series of former fast input changes is determined. Accordingly, a measure for the magnitude of changes during the past time is obtained.
- the corresponding value can be multiplied with a base time constant to for adjustment.
- the so-obtained value is used as the time constant ⁇ for an averager 90, which averages al(t) during a time span ⁇ and outputs the so-derived al*(t).
- Using an averager with different attack and release time constants allows the averaging unit to settle towards a predetermined percentage of the dynamic range of the many fast changes, when many fast changes occur. Only when the input to the averaging unit settles, the output of the averaging unit will follow slowly.
- Both, the averaging in the averaging unit 9 and the processing in the processing unit 8 may be adjusted individually for different parameters of an activity parameter set and/or for parameter sets for different sub- functions.
- greater time constants for averaging may be chosen (e.g., via t 0 )
- a more rapid following of al* (t) to al(t) may be chosen for sub-functions that result in less strong irritations when changed.
- different ratios of attack time constants to release time constants may be chosen for different sub-functions.
- That parameter can be considered the "strength" or the "activity" of the sub-function.
- a time-averaging like the time- averaging described above, may not only be used for activity parameters (or more particularly, for each value or number of an activity parameter set) , but may also be used, in general, for smoothing any other adjustments of a transfer function G. It is applicable to any (dynamically and/or continuously) adjustable processing algorithm.
- hearing device 2 input transducer unit, microphone unit, microphone
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- Physics & Mathematics (AREA)
- Engineering & Computer Science (AREA)
- Acoustics & Sound (AREA)
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- Circuit For Audible Band Transducer (AREA)
- Stereophonic System (AREA)
Abstract
Description
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Priority Applications (2)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CA002650600A CA2650600A1 (en) | 2006-05-16 | 2007-03-12 | Hearing device and method for operating a hearing device |
AU2007251717A AU2007251717B2 (en) | 2006-05-16 | 2007-03-12 | Hearing device and method for operating a hearing device |
Applications Claiming Priority (4)
Application Number | Priority Date | Filing Date | Title |
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EP06114038.0 | 2006-05-16 | ||
EP06114038 | 2006-05-16 | ||
EP06120253.7A EP1858292B2 (en) | 2006-05-16 | 2006-09-07 | Hearing device and method of operating a hearing device |
EP06120253.7 | 2006-09-07 |
Publications (1)
Publication Number | Publication Date |
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WO2007131815A1 true WO2007131815A1 (en) | 2007-11-22 |
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Application Number | Title | Priority Date | Filing Date |
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PCT/EP2007/052281 WO2007131815A1 (en) | 2006-05-16 | 2007-03-12 | Hearing device and method for operating a hearing device |
Country Status (3)
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AU (1) | AU2007251717B2 (en) |
CA (1) | CA2650600A1 (en) |
WO (1) | WO2007131815A1 (en) |
Cited By (3)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
WO2014057406A1 (en) * | 2012-10-09 | 2014-04-17 | Koninklijke Philips N.V. | Method and apparatus for audio interference estimation |
WO2017040327A1 (en) * | 2015-08-31 | 2017-03-09 | Nura Holdings Pty Ltd | Personalization of auditory stimulus |
US10708680B2 (en) | 2015-08-31 | 2020-07-07 | Nura Holdings Pty Ltd | Personalization of auditory stimulus |
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EP0788290A1 (en) * | 1996-02-01 | 1997-08-06 | Siemens Audiologische Technik GmbH | Programmable hearing aid |
WO2002032208A2 (en) * | 2002-01-28 | 2002-04-25 | Phonak Ag | Method for determining an acoustic environment situation, application of the method and hearing aid |
EP1307072A2 (en) * | 2001-10-17 | 2003-05-02 | Siemens Audiologische Technik GmbH | Method for operating a hearing aid and hearing aid |
EP1404152A2 (en) * | 2002-09-30 | 2004-03-31 | Siemens Audiologische Technik GmbH | Device and method for fitting a hearing-aid |
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2007
- 2007-03-12 CA CA002650600A patent/CA2650600A1/en not_active Abandoned
- 2007-03-12 WO PCT/EP2007/052281 patent/WO2007131815A1/en active Application Filing
- 2007-03-12 AU AU2007251717A patent/AU2007251717B2/en not_active Ceased
Patent Citations (4)
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EP0788290A1 (en) * | 1996-02-01 | 1997-08-06 | Siemens Audiologische Technik GmbH | Programmable hearing aid |
EP1307072A2 (en) * | 2001-10-17 | 2003-05-02 | Siemens Audiologische Technik GmbH | Method for operating a hearing aid and hearing aid |
WO2002032208A2 (en) * | 2002-01-28 | 2002-04-25 | Phonak Ag | Method for determining an acoustic environment situation, application of the method and hearing aid |
EP1404152A2 (en) * | 2002-09-30 | 2004-03-31 | Siemens Audiologische Technik GmbH | Device and method for fitting a hearing-aid |
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WO2014057406A1 (en) * | 2012-10-09 | 2014-04-17 | Koninklijke Philips N.V. | Method and apparatus for audio interference estimation |
CN104685903A (en) * | 2012-10-09 | 2015-06-03 | 皇家飞利浦有限公司 | Method and apparatus for audio interference estimation |
US9591422B2 (en) | 2012-10-09 | 2017-03-07 | Koninklijke Philips N.V. | Method and apparatus for audio interference estimation |
CN104685903B (en) * | 2012-10-09 | 2018-03-30 | 皇家飞利浦有限公司 | The apparatus and method measured for generating audio disturbances |
RU2651616C2 (en) * | 2012-10-09 | 2018-04-23 | Конинклейке Филипс Н.В. | Method and apparatus for audio interference estimation |
WO2017040327A1 (en) * | 2015-08-31 | 2017-03-09 | Nura Holdings Pty Ltd | Personalization of auditory stimulus |
US9794672B2 (en) | 2015-08-31 | 2017-10-17 | Nura Holdings Pty Ltd | Personalization of auditory stimulus |
US10154333B2 (en) | 2015-08-31 | 2018-12-11 | Nura Holdings Pty Ltd | Personalization of auditory stimulus |
US10708680B2 (en) | 2015-08-31 | 2020-07-07 | Nura Holdings Pty Ltd | Personalization of auditory stimulus |
Also Published As
Publication number | Publication date |
---|---|
CA2650600A1 (en) | 2007-11-22 |
AU2007251717B2 (en) | 2011-07-07 |
AU2007251717A1 (en) | 2007-11-22 |
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