EP1858292A1 - Hörgerät sowie Verfahren zum Betrieb eines Hörgerätes - Google Patents

Hörgerät sowie Verfahren zum Betrieb eines Hörgerätes Download PDF

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Publication number
EP1858292A1
EP1858292A1 EP06120253A EP06120253A EP1858292A1 EP 1858292 A1 EP1858292 A1 EP 1858292A1 EP 06120253 A EP06120253 A EP 06120253A EP 06120253 A EP06120253 A EP 06120253A EP 1858292 A1 EP1858292 A1 EP 1858292A1
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Prior art keywords
class
sub
audio signals
acoustic environment
function
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Granted
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EP06120253A
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English (en)
French (fr)
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EP1858292B1 (de
EP1858292B2 (de
Inventor
Hans-Ueli Roeck
Andi Vonlanthen
Silvia Allegro Baumann
Michael Boretzki
Hilmar Meier
Hubert Lechner
Manuela Feilner
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Sonova Holding AG
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Phonak AG
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Priority to AU2007251717A priority Critical patent/AU2007251717B2/en
Priority to PCT/EP2007/052281 priority patent/WO2007131815A1/en
Priority to CA002650600A priority patent/CA2650600A1/en
Publication of EP1858292A1 publication Critical patent/EP1858292A1/de
Publication of EP1858292B1 publication Critical patent/EP1858292B1/de
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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
    • 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
    • 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
    • H04R25/40—Arrangements for obtaining a desired directivity characteristic
    • H04R25/407—Circuits for combining signals of a plurality of transducers
    • 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. For many users, however, having to switch program settings is a nuisance, or it is difficult, or even impossible. It is also not always easy, even for experienced users of hearing devices, to determine, which program is suited best and offers optimum speech intellegibility at a certain point in time. 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. Based on the so-derived characteristics, a pattern-recognition unit employing a particular algorithm makes a determination as to the attribution of the analyzed signal to a specific acoustic environment.
  • 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 A1 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 provide for a reliable and reproducible 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 sudden strong changes in the transfer function.
  • 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
  • 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
  • the hearing device according to the invention 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.
  • 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”.
  • 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 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.
  • 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 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 S1, wherein audio signals are electrical signals, of analogue and/or digital type, which represent sound.
  • the input audio signals S1 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 g1, 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 From the input signals S1, 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.
  • a set of N class similarity factors p1...pN is output, wherein each of the class similarity factors p1...pN is indicative of the similarity of said current acoustic environment with the respective predetermined acoustic environment of classes C1...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 S1 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 S1. 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 p1...pN.
  • a feature extractor FE in which a set of (technical, auditory or other) features are extracted from the input audio signals S1. 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 p1...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 p1...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.
  • each base parameter set B1/1,...,B1/N is provided per class, B1/1 for class C1, B1/2 for class C2,... and B1/N for class CN. I.e., for each class C1...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 p1...pN. In the embodiment of Fig. 1, this is accomplished by multiplying each base parameter set B1/1,...,B1/N with a respective class weight factor P1...PN and summing up the accordingly weighted base parameter sets B1/1,...,B1/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 P1...PN are derived from said class similarity factors p1...pN.
  • the class weight factor P1...PN are obtained by adding to each class similarity factor p1...pN an individual class offset o1...oN and multiplying the result (class-wise) by an individual class factor f1...fN.
  • An optional normalization of the class weight factors P1...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 a1 (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.
  • B1/1, B1/2 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.
  • B1/1 (50dB, 2.5; 90dB, 0.8; 110dB, 0.3; 0) indicating expansion below 50dB, light compression up to 90dB, strong compression up to 110dB and limiting (infinite compression) thereabove.
  • B1/1 (30dB, 2.5; 80dB, 0.4; 105dB, 0.2; 0) indicating expansion below 30dB, medium compression up to 80dB, strong compression up to 105dB and limiting thereabove.
  • B1/1 (30dB, 2.5; 80dB, 0.4; 105dB, 0.2; 0) indicating expansion below 30dB, medium compression up to 80dB, strong compression up to 105dB and limiting thereabove.
  • gain models are furthermore frequency-dependent, so that the base parameter sets will, in addition, comprise frequency values and, accordingly, even more decibel values and compression values (for the various frequency ranges).
  • 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 a1 may be identical with this linear combination.
  • Such an activity parameter set a1 is, of course, no more just a simple strength value or an activity setting.
  • Such an activity parameter set a1 can already be, without further processing, the parameters used in the corresponding sub-function.
  • Said class similarity factors p1, 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 S1, 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 p1, p2 are a measure for the inverse distance between the feature vector of the current acoustic environment and the feature vector of class C1 and class C2, respectively.
  • p1, p2 are measures for the closeness of the feature vector of the current acoustic environment and the feature vector of class C1 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 C1, since p1 ⁇ p2.
  • each feature vector component corresponding to a specific feature
  • a normalization during determining p1,p2 is advisable, and it is also possible to weight different features differently strong during determining p1,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 p1, 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 g1...gM are drawn.
  • the class similarity factors are processed by a processing circuit 6, which outputs the class weight factors P1...PN.
  • the processing circuit 6 may perform various calculations, in particular take care of individual adaptations as provided by f1...fN and o1...oN (see Fig. 1).
  • the averaging unit 9 outputs time-averaged activity parameter sets a1* ... aM*, which are used for steering the sub-functions g1...gM.
  • a preferable behaviour of the adaptation of the transfer function G shall, as far as possible, fulfill the following points:
  • Fig. 3 is a schematic illustration of an activity parameter a1 and a corresponding time-averaged activity parameter a1* 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.
  • a1* will not fully follow a1.
  • a1* slowly drifts towards a1.
  • a rapid strong change in a1 will be followed by a1* rather quickly and in full.
  • the averaging unit 9 receives a1(t) and outputs a1*(t).
  • the averaging time ⁇ , during which a1(t)-values are averaged, is controlled in dependence of past a1(t)-values.
  • a1(t) is fed to a differentiator 91, which outputs a value representative of the derivative of a1(t), i.e., a measure for the changes in a1(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.
  • a measure for the magnitude of changes during the past time is obtained.
  • the corresponding value can be multiplied with a base time constant t 0 for adjustment.
  • the so-obtained value is used as the time constant ⁇ for an averager 90, which averages a1 (t) during a time span ⁇ and outputs the so-derived a1*(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 ), whereas a more rapid following of a1*(t) to a1(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.

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  • Health & Medical Sciences (AREA)
  • General Health & Medical Sciences (AREA)
  • Neurosurgery (AREA)
  • Otolaryngology (AREA)
  • Physics & Mathematics (AREA)
  • Engineering & Computer Science (AREA)
  • Acoustics & Sound (AREA)
  • Signal Processing (AREA)
  • Stereophonic System (AREA)
EP06120253.7A 2006-05-16 2006-09-07 Hörgerät sowie Verfahren zum Betrieb eines Hörgerätes Active EP1858292B2 (de)

Priority Applications (3)

Application Number Priority Date Filing Date Title
AU2007251717A AU2007251717B2 (en) 2006-05-16 2007-03-12 Hearing device and method for operating a hearing device
PCT/EP2007/052281 WO2007131815A1 (en) 2006-05-16 2007-03-12 Hearing device and method for operating a hearing device
CA002650600A CA2650600A1 (en) 2006-05-16 2007-03-12 Hearing device and method for operating a hearing device

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Application Number Priority Date Filing Date Title
EP06114038 2006-05-16

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EP1858292A1 true EP1858292A1 (de) 2007-11-21
EP1858292B1 EP1858292B1 (de) 2014-06-18
EP1858292B2 EP1858292B2 (de) 2022-02-23

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Cited By (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2009143898A1 (en) * 2008-05-30 2009-12-03 Phonak Ag Method for adapting sound in a hearing aid device by frequency modification and such a device
EP2654321B1 (de) * 2012-04-17 2018-05-30 Sivantos Pte. Ltd. Verfahren zum Betreiben einer Hörvorrichtung
EP3345263A1 (de) * 2015-08-31 2018-07-11 Nura Holdings PTY Ltd Personalisierung eines schallreizes
EP3120578B1 (de) 2014-03-19 2018-10-31 Bose Corporation Crowd-source empfehlungen für hörgeräte
WO2018196973A1 (en) * 2017-04-27 2018-11-01 Sonova Ag User adjustable weighting of sound classes of a hearing aid
EP3843427A1 (de) * 2019-12-23 2021-06-30 Sonova AG Selbstanpassung eines hörgeräts mit benutzerunterstützung
WO2023104865A1 (de) * 2021-12-09 2023-06-15 Elevear GmbH Vorrichtung zur aktiven störgeräusch- und/oder okklusionsunterdrückung, entsprechendes verfahren und computerprogramm

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WO1999065275A1 (en) 1998-06-10 1999-12-16 Oticon A/S Method of sound signal processing and device for implementing the method
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EP1307072A2 (de) 2001-10-17 2003-05-02 Siemens Audiologische Technik GmbH Verfahren zum Betrieb eines Hörgerätes sowie Hörgerät
EP1404152A2 (de) 2002-09-30 2004-03-31 Siemens Audiologische Technik GmbH Vorrichtung und Verfahren zum Anpasssen eines Hörgeräts

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Publication number Priority date Publication date Assignee Title
EP0788290A1 (de) 1996-02-01 1997-08-06 Siemens Audiologische Technik GmbH Programmierbares Hörgerät
WO1999065275A1 (en) 1998-06-10 1999-12-16 Oticon A/S Method of sound signal processing and device for implementing the method
WO2001020965A2 (de) 2001-01-05 2001-03-29 Phonak Ag Verfahren zur bestimmung einer momentanen akustischen umgebungssituation, anwendung des verfharens und ein hörgerät
WO2001022790A2 (de) 2001-01-05 2001-04-05 Phonak Ag Verfahren zum betrieb eines hörgerätes und ein hörgerät
EP1307072A2 (de) 2001-10-17 2003-05-02 Siemens Audiologische Technik GmbH Verfahren zum Betrieb eines Hörgerätes sowie Hörgerät
WO2002032208A2 (de) 2002-01-28 2002-04-25 Phonak Ag Verfahren zur bestimmung einer akustischen umgebungssituation, anwendung des verfahrens und ein hörhilfegerät
EP1404152A2 (de) 2002-09-30 2004-03-31 Siemens Audiologische Technik GmbH Vorrichtung und Verfahren zum Anpasssen eines Hörgeräts

Cited By (15)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
EP2369859A2 (de) 2008-05-30 2011-09-28 Phonak Ag Verfahren zur Tonanpassung in einer Hörhilfevorrichtung durch Frequenzmodifikation und dem entsprechende Vorrichtung
US8571242B2 (en) 2008-05-30 2013-10-29 Phonak Ag Method for adapting sound in a hearing aid device by frequency modification and such a device
EP2369859A3 (de) * 2008-05-30 2015-08-12 Phonak Ag Verfahren zur Tonanpassung in einer Hörhilfevorrichtung durch Frequenzmodifikation und dem entsprechende Vorrichtung
WO2009143898A1 (en) * 2008-05-30 2009-12-03 Phonak Ag Method for adapting sound in a hearing aid device by frequency modification and such a device
EP2654321B1 (de) * 2012-04-17 2018-05-30 Sivantos Pte. Ltd. Verfahren zum Betreiben einer Hörvorrichtung
EP3120578B1 (de) 2014-03-19 2018-10-31 Bose Corporation Crowd-source empfehlungen für hörgeräte
EP3120578B2 (de) † 2014-03-19 2022-08-17 Bose Corporation Crowd-source empfehlungen für hörgeräte
EP3345263A4 (de) * 2015-08-31 2018-07-11 Nura Holdings PTY Ltd Personalisierung eines schallreizes
EP3345263A1 (de) * 2015-08-31 2018-07-11 Nura Holdings PTY Ltd Personalisierung eines schallreizes
EP3345263B1 (de) * 2015-08-31 2022-12-21 Nura Holdings PTY Ltd Personalisierung eines schallreizes
WO2018196973A1 (en) * 2017-04-27 2018-11-01 Sonova Ag User adjustable weighting of sound classes of a hearing aid
US11153693B2 (en) 2017-04-27 2021-10-19 Sonova Ag User adjustable weighting of sound classes of a hearing aid
EP3843427A1 (de) * 2019-12-23 2021-06-30 Sonova AG Selbstanpassung eines hörgeräts mit benutzerunterstützung
US11323827B2 (en) 2019-12-23 2022-05-03 Sonova Ag Self-fitting of hearing device with user support
WO2023104865A1 (de) * 2021-12-09 2023-06-15 Elevear GmbH Vorrichtung zur aktiven störgeräusch- und/oder okklusionsunterdrückung, entsprechendes verfahren und computerprogramm

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DK1858292T3 (en) 2014-07-07
EP1858292B2 (de) 2022-02-23
DK1858292T4 (da) 2022-04-11

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