EP3048813B1 - Procédé et dispositif de suppression du bruit basée sur l'inter-corrélation de bandes secondaires - Google Patents
Procédé et dispositif de suppression du bruit basée sur l'inter-corrélation de bandes secondaires Download PDFInfo
- Publication number
- EP3048813B1 EP3048813B1 EP15198238.6A EP15198238A EP3048813B1 EP 3048813 B1 EP3048813 B1 EP 3048813B1 EP 15198238 A EP15198238 A EP 15198238A EP 3048813 B1 EP3048813 B1 EP 3048813B1
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- frequency band
- band
- correlation
- signal
- frequency
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- 238000000034 method Methods 0.000 title claims description 45
- 230000001629 suppression Effects 0.000 claims description 28
- 230000005236 sound signal Effects 0.000 claims description 16
- 230000003044 adaptive effect Effects 0.000 description 10
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- 230000003595 spectral effect Effects 0.000 description 5
- 210000000988 bone and bone Anatomy 0.000 description 3
- 230000001419 dependent effect Effects 0.000 description 3
- 230000006978 adaptation Effects 0.000 description 2
- 230000005540 biological transmission Effects 0.000 description 2
- 238000004891 communication Methods 0.000 description 2
- 210000000613 ear canal Anatomy 0.000 description 2
- 230000009467 reduction Effects 0.000 description 2
- 230000002123 temporal effect Effects 0.000 description 2
- 230000009466 transformation Effects 0.000 description 2
- 208000032041 Hearing impaired Diseases 0.000 description 1
- 210000004556 brain Anatomy 0.000 description 1
- 230000008859 change Effects 0.000 description 1
- 238000006243 chemical reaction Methods 0.000 description 1
- 238000001514 detection method Methods 0.000 description 1
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- 230000006698 induction Effects 0.000 description 1
- 230000002452 interceptive effect Effects 0.000 description 1
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- 210000003454 tympanic membrane Anatomy 0.000 description 1
Images
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
- H04R25/45—Prevention of acoustic reaction, i.e. acoustic oscillatory feedback
- H04R25/453—Prevention of acoustic reaction, i.e. acoustic oscillatory feedback electronically
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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
- H04R25/505—Customised settings for obtaining desired overall acoustical characteristics using digital signal processing
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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
- H04R2225/00—Details of deaf aids covered by H04R25/00, not provided for in any of its subgroups
- H04R2225/43—Signal processing in hearing aids to enhance the speech intelligibility
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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
- H04R2430/00—Signal processing covered by H04R, not provided for in its groups
- H04R2430/03—Synergistic effects of band splitting and sub-band processing
Definitions
- the invention relates to a method for suppressing noise in hearing aids and a corresponding hearing aid.
- Incoming audio signals are divided into frequency bands.
- Hearing aids are portable hearing aids that are used to care for the hearing impaired.
- different types of hearing aids such as behind-the-ear hearing aids (BTE), hearing aid with external receiver (RIC: receiver in the canal) and in-the-ear hearing aids (ITE), e.g. Concha hearing aids or canal hearing aids (ITE, CIC).
- BTE behind-the-ear hearing aids
- RIC hearing aid with external receiver
- ITE in-the-ear hearing aids
- ITE in-the-ear hearing aids
- ITE in-the-ear hearing aids
- ITE concha hearing aids or canal hearing aids
- the hearing aids listed by way of example are worn on the outer ear or in the ear canal.
- bone conduction hearing aids, implantable or vibrotactile hearing aids are also available on the market. The stimulation of the damaged hearing takes place either mechanically or electrically.
- Hearing aids have in principle as essential components an input transducer, an amplifier and an output transducer.
- the input transducer is usually an acousto-electrical converter, z. As a microphone, and / or an electromagnetic receiver, for. B. an induction coil.
- the output transducer is usually used as an electroacoustic transducer, z. As miniature speaker, or as an electromechanical transducer, z. B. bone conduction, realized.
- the amplifier is usually integrated in a signal processing device.
- the power is usually supplied by a battery or a rechargeable battery.
- the hearing aid it is therefore necessary for the hearing aid to perform some of these functions. It is already known to suppress noise, for example, by a directional characteristic or to reduce using their spectral properties of an input signal from the microphones.
- a method for adaptively filtering an audio signal in hearing aids in which the audio signal is first divided into individual frequency bands and in turn into individual sub-bands, wherein sub-bands to different frequency bands partially overlap. Correlation measurements are then performed in pairs for all sub-bands across all frequency bands to determine a degree of overlap of individual sub-bands. For overlapping sub-bands of different frequency bands, the filter coefficients of the adaptive filter are then shared, which saves recalculation.
- the object of the present invention is therefore to provide a hearing aid device and a method for operating a hearing aid, which improve speech understanding in the case of noise suppression.
- this object is achieved by a method for operating a hearing aid according to claim 1 and a hearing aid according to claim 11.
- the inventive method for noise suppression in hearing aids has the step of dividing an audio signal into a plurality of substantially disjoint frequency bands.
- the audio signal can come from one or more microphones, a signal input or a wireless transmission device.
- the signal can be analog or digital.
- the splitting into frequency bands can be done with one or more filter means, for example a filter bank, several discrete filters or by a transformation into a frequency space. This is to be understood essentially disjoint that the individual frequency bands overlap only to a limited extent or not at all, for example at most a quarter, a tenth or twentieth of their bandwidth.
- a reference band of the plurality of frequency bands is selected based on a detected first portion of a speech signal.
- the hearing aid has means for recognizing a voice component. Possible means can detect this on the basis of a spectral distribution, temporal dynamics, but also on the basis of an origin direction of the audio signals recorded by a plurality of microphones of a hearing aid.
- a controller of the hearing aid can select with the help of this means a frequency band with a voice portion as the reference band.
- the hearing aid device determines a correlation between a first frequency band and the reference band. This can be done, for example, with a device for determining a correlation.
- a value is determined as a function of the ascertained correlation, which indicates a second portion of a speech signal in the first frequency band. This can be done for example by the controller. It is conceivable that, based on a strong correlation between the first frequency band and the reference band, it can be concluded that the first frequency band also has a signal component with speech. However, it is also conceivable that the first frequency band is also evaluated by a means for recognizing a speech component. It is also possible for the means for recognizing a speech component to be applied only to the first frequency band if a sufficiently high correlation with the first frequency band has been determined.
- noise suppression in the first frequency band is set as a function of the determined values.
- the method according to the invention makes it possible in an advantageous manner to make the noise suppression in the individual frequency bands dependent on whether they have a voice signal component.
- the selection of a reference band also makes it possible to recognize the speech preferably in frequency ranges, where e.g. due to the speech spectrum, and also to transmit the result to other lower-level channels where this is more difficult by confirming the presence of a speech component via the correlation with the first frequency range.
- the method according to the invention is carried out in parallel or sequentially with the steps of determining a correlation, determining a value and setting a noise suppression for a plurality of first frequency bands.
- the method according to the invention is repeated and carried out with a second reference band. It is conceivable that the second reference band is equal to the first reference band or differs from the first reference band.
- the selection of a reference band is made by selecting the frequency band with the highest energy in comparison to the other frequency bands of the plurality of frequency bands.
- the energy is over the square of the amplitude equivalent to the amplitude of the signal in the frequency band.
- a single voice has e.g. in the case of vowels, a high energy density in a narrow frequency range, so that a voice component in a frequency band with high energy is likely.
- the selection of a reference band is effected by the selection of the frequency band having a greatest degree of modulation in a predetermined frequency range.
- a high degree of modulation in a frequency band indicates a voice activity in this frequency band and can be determined with low processor load.
- the recognition reliability can be increased.
- the correlation between the first frequency band and the reference band is determined on the basis of a signal amplitude or a signal energy of a signal of the first frequency band and reference band.
- the correlation can be determined particularly easily.
- the correlation between the first frequency band and the reference band is determined on the basis of a degree of modulation of a signal of the first frequency band and reference band in a predetermined frequency range. So it is in the invention, it is conceivable to use a degree of modulation with in a predetermined frequency range of a speech modulation between a hertz and 5 or 10 hertz to determine the correlation.
- the correlation of the momentary or via a moving window determines modulation degree reliable detection, whether in the first frequency band, a voice component is present.
- the correlation over a window length is determined as a function of the first audio signal.
- the correlation must always be determined over a certain number of values that indicate a certain period of time during the course of the signals. This period or the number of values is also referred to as window length. It may be advantageous to change this window length depending on the environment and thus the first audio signal. For example, in the case of rapid changes in the input signal, it is necessary to reduce the window length in order to be able to react faster to environmental changes with the noise suppression.
- a value for a speech component of a signal is determined by comparing the correlation with a predetermined threshold value.
- the reference band is selected in the method according to the invention such that it preferably has a speech component. If the first frequency band has a correlation with a sufficiently high value, that is, the reference band and the first frequency band have properties sufficiently in common, then it can advantageously be assumed that the first frequency band also has speech components.
- a noise suppression parameter is set, which is a parameter for influencing a noise signal estimation, a parameter for setting the strength of the interference signal suppression or a parameter for limiting interference suppression.
- the noise suppression in a frequency band as a function of a detected speech component can thus be set in such a way that noise is preferably suppressed and speech components remain as uninfluenced as possible
- Fig. 1 shows the basic structure of a hearing aid according to the invention 110.
- a hearing aid housing 1 for carrying behind the ear, one or more electro-acoustic transducers 2 for receiving the sound or acoustic signals from the environment are arranged.
- the acousto-electrical converters 2 are, for example, microphones for converting the sound into an electrical input signal.
- the hearing aid device 110 can also have a recording device 6 for receiving an electrical or electromagnetic signal and conversion into an electrical input signal.
- the output signal of the signal processing device 3 is transmitted to a loudspeaker or receiver 4, which emits an acoustic signal.
- the sound is optionally transmitted via a sound tube, which is fixed with an earmold in the ear canal, to the eardrum of the device carrier.
- a sound tube which is fixed with an earmold in the ear canal, to the eardrum of the device carrier.
- electro-acoustic and other electro-mechanical transducers such as bone conduction.
- the power supply of the hearing device, and in particular that of the signal processing device 3, is effected by a battery 5 likewise integrated in the hearing device housing 1.
- the hearing aid device 110 also has a noise suppression device 20 which, as in FIG Fig. 1 is shown part of the signal processing device 3, or is also designed as a separate noise canceling device 20 in the hearing aid 110.
- the further signal processing functions of the signal processing 3 are shown as block 12.
- the noise suppression device 20 is in signal communication with the microphone 2 and the pickup device 6.
- the noise canceling device 20 is configured to reduce a noise in the first electrical signal.
- a noise suppression device 20 is Fig. 2 shown in more detail in function blocks.
- the electrical input signal of a microphone or the recording device 6 is already divided by the signal processing device 3 in a plurality of signals with substantially disjoint Frequenz selected before it the noise suppression device 20 is supplied.
- This essentially means that the frequency bands do not overlap or overlap only slightly.
- noise suppression device 20 is provided in the hearing aid 110 several times for different frequency bands, in Fig.2 but shown only for a single frequency band.
- the multiple noise suppression can be done for example by multiple parallel functional units or by a sequential processing for the individual frequency bands with a functional unit
- an input filter 21 is used to provide an envelope of a first, individual frequency band and limited by a bandpass filter 22 in frequency to a characteristic range for speech in order to facilitate the subsequent steps.
- These are typical modulation frequencies between one hertz and 5 or even 10 Hz.
- no separate preparation takes place or this takes place in another way.
- other characteristic features of speech may subsequently be used, for example a spectral energy distribution or dynamic variations.
- a reference band selector 23 selects a reference band from the plurality of frequency bands. This is the in Fig. 2 Reference band selector 23 is in signal connection (not shown) with other reference band selector means for other frequency bands or is part of a frequency band spanning reference band selector 23. There may always be a same frequency band as reference band selected, for example, in a frequency range which is typical for speech. However, it is also conceivable that a reference band is selected dynamically for a variable period of time, which has characteristic features, for example for speech. These may include dynamic fluctuations with a typical dynamic range or with a typical fluctuation frequency, for example less than 10, 5 or 2 Hertz. The correlation determination described below preferably takes place for the selected reference band and at least one further, different frequency band.
- a subband correlation determination device 24 is supplied with the signal of the reference band as well as with at least one different frequency band, wherein the signal connection in Fig. 2 not shown.
- the different frequency band is the first frequency band supplied to the noise suppression device 20, unless it is the reference band itself.
- the subband correlation determiner 24 determines a value for a correlation between the reference band and the first frequency band.
- the subband correlation determining means 24 preferably provides, by means of the speech identification means 26, a value for a probability that the signal of the first frequency band has a speech content.
- the subband correlation determination device 24 can also provide a binary signal by means of a decision device 25 as to whether the first frequency band has a voice signal. So can the subsequent processing can be simplified if the first frequency band has no speech components.
- a parameter setting means 27 determines suitable parameters for an adaptive noise filter 28 based on the binary signal and / or the probability value.
- the gain of the adaptive noise filter 28 can be set to zero if there is no speech component in the first frequency band. It is also conceivable that the gain is proportional or otherwise dependent on the probability value. It is also possible to set other parameters of the adaptive noise filter 28 in other ways depending on the binary signal and / or the probability signal.
- the step size for an adaptive adaptation of the filter e.g. adapted to a Wiener filter.
- the adaptive noise filter 28 preferably reduces a level of noise over speech portions in the first frequency band due to the parameter setting.
- Fig. 3 shows a schematic flowchart of a method according to the invention.
- an audio signal is divided into a plurality of substantially disjoint frequency bands.
- the audio signal preferably originates from one or more microphones, but the source can also be, for example, an electrical signal input or a wireless transmission device.
- the division into subbands can be done with one or more filter means, for example a filter bank, several discrete filters or by a transformation into a frequency space. This is to be understood essentially disjoint that the individual frequency bands overlap only to a limited extent or not at all, for example at most a quarter, a tenth or twentieth of their bandwidth.
- a first frequency band of the plurality of frequency bands is selected as the reference band, which has a detectable first portion of a speech signal.
- the hearing aid has means for recognizing a voice component.
- This agent can be used in Fig. 2 be shown Referenzbandausschmikll Surprise.
- Possible means can recognize a voice component based on a spectral distribution, temporal dynamics, but also on the basis of an origin direction of the audio signals recorded by a plurality of microphones of a hearing aid.
- a controller or the reference band selection device 23 of the hearing aid can thus select a frequency band with a voice component as the reference band. It is also conceivable, however, for the means for selecting to select by default a specific frequency band typical for speech.
- the hearing aid device determines a correlation between the first frequency band and the reference band. This can be done, for example, by means of the subband correlation determination device 24. Methods for determining a correlation are in the description too Fig. 2 specified.
- the first frequency band is a different frequency band than the reference band.
- the correlation value is then maximum because of the identity.
- the decision device 25 and / or the voice identification device 26 determines a value which is a second component of a function of the correlation determined Indicates speech signal in the second frequency band. It can be a binary value, a binary mask, or a fuzzy value in the sense of a fuzzy logic that indicates a probability. It is conceivable that, based on a strong correlation between the first frequency band and the reference band, it can be concluded that the first frequency band also has a signal component with speech. However, it is also conceivable that the first frequency band is also evaluated by a means for recognizing a speech component. It is also possible that the speech identification device 26 is applied only to the first frequency band, if a sufficiently high correlation with the first frequency band has been determined and the decision device 25 assumes a corresponding value as a "binary mask".
- a noise suppression in the first frequency band is set as a function of the determined value.
- the gain of the noise filter 28 can be set to zero if there is no speech component in the first frequency band. It is also conceivable that the gain is proportional or otherwise dependent on the probability value. It is also possible to set other parameters of an adaptive noise filter in other ways depending on the binary signal and / or the probability signal. Thus, the step size for an adaptive adaptation of the filter, e.g. a Wiener filter, or the maximum possible reduction be adjusted.
- the adaptive noise filter preferably reduces a level of noise over speech portions in the first frequency band due to the parameter setting.
- the steps S30 to S50 are executed for all the frequency bands of the plurality of frequency bands either in parallel or sequentially one after the other.
- the steps S10 to S50 are repeated cyclically at predetermined or variable intervals, wherein the step S20 can be executed only once or also repeated with a variable reference band. Within these repetitions, steps S30 to S50 for several or all of the frequency bands are preferably executed in parallel or sequentially.
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- General Health & Medical Sciences (AREA)
- Neurosurgery (AREA)
- Otolaryngology (AREA)
- Physics & Mathematics (AREA)
- Engineering & Computer Science (AREA)
- Acoustics & Sound (AREA)
- Signal Processing (AREA)
- Circuit For Audible Band Transducer (AREA)
Claims (13)
- Procédé d'inhibition des bruits parasites dans des appareils d'aide auditive, le procédé comprenant les étapes suivantes :(S10) division d'un premier signal audio en une pluralité de bandes de fréquences sensiblement disjointes ;(S20) sélection d'une bande de référence parmi la pluralité de bandes de fréquences au moyen d'une première part d'un signal vocal observé dans la bande de référence ;(S30) détermination d'une corrélation entre la bande de référence et une première bande de fréquences parmi les bandes de fréquences sensiblement disjointes ;(S40) détermination, en fonction de la corrélation, d'une valeur qui indique une deuxième part d'un signal vocal dans la première bande de fréquences ;(S50) réglage d'une inhibition des bruits parasites dans la première bande de fréquences en fonction de la valeur déterminée.
- Procédé selon la revendication 1, les étapes (S30) à (S50) étant exécutées pour une pluralité de premières bandes de fréquences.
- Procédé selon la revendication 1 ou 2, les étapes (S10) à (S50) étant répétées et exécutées avec une deuxième bande de référence différente.
- Procédé selon l'une des revendications précédentes, la sélection d'une bande de référence à l'étape (S20) s'effectuant en sélectionnant la bande de fréquences qui possède le niveau d'énergie le plus élevé.
- Procédé selon l'une des revendications précédentes, la sélection d'une bande de référence à l'étape (S20) s'effectuant en sélectionnant la bande de fréquences qui présente un degré de modulation le plus élevé dans une plage de fréquences prédéfinie.
- Procédé selon l'une des revendications précédentes, la corrélation à l'étape (S30) entre la première bande de fréquences et la bande de référence étant déterminée à l'aide d'une amplitude de signal ou d'une énergie de signal d'un signal de la première bande de fréquences et de la bande de référence.
- Procédé selon l'une des revendications 1 à 5, la corrélation à l'étape (S30) entre la première bande de fréquences et la bande de référence étant déterminée à l'aide d'un degré de modulation d'un signal de la première bande de fréquences et de la bande de référence dans une plage de fréquences prédéfinie.
- Procédé selon l'une des revendications précédentes, la corrélation à l'étape (S30) étant effectuée sur une longueur de fenêtre en fonction du premier signal audio.
- Procédé selon l'une des revendications précédentes, la valeur à l'étape (S40) étant déterminée en comparant la corrélation avec une valeur de seuil prédéfinie.
- Procédé selon l'une des revendications précédentes, un paramètre d'inhibition des bruits parasites étant réglé à l'étape (S50), lequel est un paramètre destiné à influencer une estimation du signal parasite, un paramètre destiné à régler l'intensité de l'inhibition du signal parasite ou un paramètre destiné à limiter une inhibition du signal parasite.
- Appareil d'aide auditive comprenant un dispositif d'inhibition des bruits parasites, l'appareil auxiliaire possédant des moyens de filtrage, des moyens de reconnaissance destinés à reconnaître une composante vocale dans un signal audio, des moyens de corrélation destinée à déterminer une corrélation entre deux signaux audio, un système d'inhibition des bruits parasites avec un paramètre réglable et une commande, l'appareil d'aide auditive étant conçu pour diviser un signal audio à l'aide des moyens de filtrage en une pluralité de bandes de fréquences sensiblement disjointes,
reconnaître, avec les moyens de reconnaissance, si une première part d'un signal vocal est présente dans une bande de fréquences et sélectionner en tant que bande de référence une bande de fréquences comportant la première part d'un signal audio,
déterminer, avec les moyens de corrélation, une corrélation entre une première bande de fréquences et la bande de référence,
déterminer une valeur qui indique une deuxième part d'un signal vocal dans la première bande de fréquences, régler, à l'aide de la commande, une inhibition des bruits parasites dans la première bande de fréquences en fonction de la valeur déterminée. - Appareil d'aide auditive selon la revendication 11, les moyens de reconnaissance étant conçus pour déterminer un degré de modulation d'une bande de fréquences et, en fonction du degré de modulation, reconnaître une composante vocale dans une plage de fréquences prédéfinie.
- Appareil d'aide auditive selon la revendication 11 ou 12, les moyens de corrélation étant conçus pour déterminer un degré de modulation d'une bande de fréquences dans une plage de fréquences prédéfinie et pour déterminer une corrélation entre une première bande de fréquences et la bande de référence en fonction du degré de modulation dans la première bande de fréquences et la bande de référence.
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
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DE102015201073.2A DE102015201073A1 (de) | 2015-01-22 | 2015-01-22 | Verfahren und Vorrichtung zur Rauschunterdrückung basierend auf Inter-Subband-Korrelation |
Publications (2)
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EP3048813A1 EP3048813A1 (fr) | 2016-07-27 |
EP3048813B1 true EP3048813B1 (fr) | 2018-03-14 |
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EP15198238.6A Active EP3048813B1 (fr) | 2015-01-22 | 2015-12-07 | Procédé et dispositif de suppression du bruit basée sur l'inter-corrélation de bandes secondaires |
Country Status (4)
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US (1) | US10051382B2 (fr) |
EP (1) | EP3048813B1 (fr) |
DE (1) | DE102015201073A1 (fr) |
DK (1) | DK3048813T3 (fr) |
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WO2017025108A2 (fr) * | 2016-10-04 | 2017-02-16 | Al-Shalash Taha Kais Taha | Séquençage du signal vocal |
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EP0219025B1 (fr) | 1985-10-16 | 1990-06-13 | Siemens Aktiengesellschaft | Appareil auditif |
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EP1101390B1 (fr) | 1998-07-24 | 2004-04-14 | Siemens Audiologische Technik GmbH | Appareil auditif permettant une meilleure comprehension de la parole grace a un traitement de signal selectif en frequence, et procede permettant de faire fonctionner un tel appareil auditif |
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DE102006051071A1 (de) | 2006-10-30 | 2008-05-08 | Siemens Audiologische Technik Gmbh | Pegelabhängige Geräuschreduktion |
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EP1723829B1 (fr) | 2004-03-02 | 2011-05-04 | Oticon A/S | Procédé de réduction du bruit dans un dispositif audio et aide auditive equipée d'un moyen de réduction du bruit |
WO2012076045A1 (fr) | 2010-12-08 | 2012-06-14 | Widex A/S | Prothèse auditive et procédé pour améliorer la reproduction de paroles |
US20120213395A1 (en) | 2011-02-17 | 2012-08-23 | Siemens Medical Instruments Pte. Ltd. | Method and device for estimating interference noise, hearing device and hearing aid |
DE102012202469B3 (de) | 2012-02-17 | 2013-01-17 | Siemens Medical Instruments Pte. Ltd. | Hörvorrichtung mit einem adaptiven Filter und Verfahren zum Filtern eines Audiosignal |
US20130251170A1 (en) | 2010-04-19 | 2013-09-26 | Mark Every | Jointly Optimizing Noise Reduction and Voice Quality in a Mono or Multi-Microphone System |
US20140219474A1 (en) | 2013-02-07 | 2014-08-07 | Sennheiser Communications A/S | Method of reducing un-correlated noise in an audio processing device |
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JP3750583B2 (ja) * | 2001-10-22 | 2006-03-01 | ソニー株式会社 | 信号処理方法及び装置、並びに信号処理プログラム |
US20040252853A1 (en) * | 2003-05-27 | 2004-12-16 | Blamey Peter J. | Oscillation suppression |
US6912289B2 (en) * | 2003-10-09 | 2005-06-28 | Unitron Hearing Ltd. | Hearing aid and processes for adaptively processing signals therein |
WO2009049672A1 (fr) * | 2007-10-16 | 2009-04-23 | Phonak Ag | Système auditif et procédé d'utilisation correspondant |
JP5227393B2 (ja) * | 2008-03-03 | 2013-07-03 | 日本電信電話株式会社 | 残響除去装置、残響除去方法、残響除去プログラム、および記録媒体 |
DE102010026884B4 (de) * | 2010-07-12 | 2013-11-07 | Siemens Medical Instruments Pte. Ltd. | Verfahren zum Betreiben einer Hörvorrichtung mit zweistufiger Transformation |
US9031259B2 (en) * | 2011-09-15 | 2015-05-12 | JVC Kenwood Corporation | Noise reduction apparatus, audio input apparatus, wireless communication apparatus, and noise reduction method |
US9384759B2 (en) * | 2012-03-05 | 2016-07-05 | Malaspina Labs (Barbados) Inc. | Voice activity detection and pitch estimation |
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2015
- 2015-01-22 DE DE102015201073.2A patent/DE102015201073A1/de not_active Withdrawn
- 2015-12-07 DK DK15198238.6T patent/DK3048813T3/da active
- 2015-12-07 EP EP15198238.6A patent/EP3048813B1/fr active Active
-
2016
- 2016-01-22 US US15/003,854 patent/US10051382B2/en active Active
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EP0219025B1 (fr) | 1985-10-16 | 1990-06-13 | Siemens Aktiengesellschaft | Appareil auditif |
WO1991003042A1 (fr) | 1989-08-18 | 1991-03-07 | Otwidan Aps Forenede Danske Høreapparat Fabrikker | Procede et appareil de classification d'un signal vocal et de bruit melange |
EP1101390B1 (fr) | 1998-07-24 | 2004-04-14 | Siemens Audiologische Technik GmbH | Appareil auditif permettant une meilleure comprehension de la parole grace a un traitement de signal selectif en frequence, et procede permettant de faire fonctionner un tel appareil auditif |
US20040161120A1 (en) | 2003-02-19 | 2004-08-19 | Petersen Kim Spetzler | Device and method for detecting wind noise |
EP1723829B1 (fr) | 2004-03-02 | 2011-05-04 | Oticon A/S | Procédé de réduction du bruit dans un dispositif audio et aide auditive equipée d'un moyen de réduction du bruit |
DE102006051071A1 (de) | 2006-10-30 | 2008-05-08 | Siemens Audiologische Technik Gmbh | Pegelabhängige Geräuschreduktion |
US20080317261A1 (en) | 2007-06-22 | 2008-12-25 | Sanyo Electric Co., Ltd. | Wind Noise Reduction Device |
US20130251170A1 (en) | 2010-04-19 | 2013-09-26 | Mark Every | Jointly Optimizing Noise Reduction and Voice Quality in a Mono or Multi-Microphone System |
WO2012076045A1 (fr) | 2010-12-08 | 2012-06-14 | Widex A/S | Prothèse auditive et procédé pour améliorer la reproduction de paroles |
US20120213395A1 (en) | 2011-02-17 | 2012-08-23 | Siemens Medical Instruments Pte. Ltd. | Method and device for estimating interference noise, hearing device and hearing aid |
DE102012202469B3 (de) | 2012-02-17 | 2013-01-17 | Siemens Medical Instruments Pte. Ltd. | Hörvorrichtung mit einem adaptiven Filter und Verfahren zum Filtern eines Audiosignal |
US20140219474A1 (en) | 2013-02-07 | 2014-08-07 | Sennheiser Communications A/S | Method of reducing un-correlated noise in an audio processing device |
Also Published As
Publication number | Publication date |
---|---|
DK3048813T3 (da) | 2018-05-22 |
US10051382B2 (en) | 2018-08-14 |
DE102015201073A1 (de) | 2016-07-28 |
US20160219381A1 (en) | 2016-07-28 |
EP3048813A1 (fr) | 2016-07-27 |
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