WO2001047335A2 - Verfahren zur elimination von störsignalanteilen in einem eingangssignal eines auditorischen systems, anwendung des verfahrens und ein hörgerät - Google Patents
Verfahren zur elimination von störsignalanteilen in einem eingangssignal eines auditorischen systems, anwendung des verfahrens und ein hörgerät Download PDFInfo
- Publication number
- WO2001047335A2 WO2001047335A2 PCT/CH2001/000236 CH0100236W WO0147335A2 WO 2001047335 A2 WO2001047335 A2 WO 2001047335A2 CH 0100236 W CH0100236 W CH 0100236W WO 0147335 A2 WO0147335 A2 WO 0147335A2
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- WO
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- Prior art keywords
- signal
- components
- useful
- signal components
- features
- Prior art date
Links
- 238000000034 method Methods 0.000 title claims abstract description 61
- 230000008030 elimination Effects 0.000 title abstract description 3
- 238000003379 elimination reaction Methods 0.000 title abstract description 3
- 238000004458 analytical method Methods 0.000 claims abstract description 36
- 238000012545 processing Methods 0.000 claims abstract description 12
- 238000012512 characterization method Methods 0.000 claims abstract 6
- 230000003595 spectral effect Effects 0.000 claims description 19
- 230000001427 coherent effect Effects 0.000 claims description 6
- 238000000605 extraction Methods 0.000 description 10
- 230000001629 suppression Effects 0.000 description 8
- 238000013459 approach Methods 0.000 description 7
- 230000015572 biosynthetic process Effects 0.000 description 6
- 238000010586 diagram Methods 0.000 description 6
- 238000003786 synthesis reaction Methods 0.000 description 5
- 238000011156 evaluation Methods 0.000 description 4
- 230000002238 attenuated effect Effects 0.000 description 3
- 238000005516 engineering process Methods 0.000 description 3
- 238000001914 filtration Methods 0.000 description 3
- 230000001771 impaired effect Effects 0.000 description 3
- 230000009467 reduction Effects 0.000 description 3
- 230000002829 reductive effect Effects 0.000 description 3
- 206010011891 Deafness neurosensory Diseases 0.000 description 2
- 230000003321 amplification Effects 0.000 description 2
- 230000008859 change Effects 0.000 description 2
- 238000004891 communication Methods 0.000 description 2
- 230000004069 differentiation Effects 0.000 description 2
- 230000006870 function Effects 0.000 description 2
- 208000016354 hearing loss disease Diseases 0.000 description 2
- 230000004807 localization Effects 0.000 description 2
- 238000003199 nucleic acid amplification method Methods 0.000 description 2
- 230000002123 temporal effect Effects 0.000 description 2
- 238000012546 transfer Methods 0.000 description 2
- 208000032041 Hearing impaired Diseases 0.000 description 1
- 208000009966 Sensorineural Hearing Loss Diseases 0.000 description 1
- 230000006978 adaptation Effects 0.000 description 1
- 230000006835 compression Effects 0.000 description 1
- 238000007906 compression Methods 0.000 description 1
- 238000007796 conventional method Methods 0.000 description 1
- 230000007423 decrease Effects 0.000 description 1
- 230000001419 dependent effect Effects 0.000 description 1
- 238000013461 design Methods 0.000 description 1
- 230000000694 effects Effects 0.000 description 1
- 230000006872 improvement Effects 0.000 description 1
- 230000002452 interceptive effect Effects 0.000 description 1
- 238000011835 investigation Methods 0.000 description 1
- 230000000873 masking effect Effects 0.000 description 1
- 230000007246 mechanism Effects 0.000 description 1
- 238000002156 mixing Methods 0.000 description 1
- 230000008520 organization Effects 0.000 description 1
- 230000036961 partial effect Effects 0.000 description 1
- 230000008447 perception Effects 0.000 description 1
- 230000008569 process Effects 0.000 description 1
- 238000012827 research and development Methods 0.000 description 1
- 230000004044 response Effects 0.000 description 1
- 231100000879 sensorineural hearing loss Toxicity 0.000 description 1
- 208000023573 sensorineural hearing loss disease Diseases 0.000 description 1
- 238000000926 separation method Methods 0.000 description 1
- 238000001228 spectrum Methods 0.000 description 1
- 238000011410 subtraction method Methods 0.000 description 1
Classifications
-
- G—PHYSICS
- G10—MUSICAL INSTRUMENTS; ACOUSTICS
- G10L—SPEECH ANALYSIS TECHNIQUES OR SPEECH SYNTHESIS; SPEECH RECOGNITION; SPEECH OR VOICE PROCESSING TECHNIQUES; SPEECH OR AUDIO CODING OR DECODING
- G10L21/00—Speech or voice signal processing techniques to produce another audible or non-audible signal, e.g. visual or tactile, in order to modify its quality or its intelligibility
- G10L21/02—Speech enhancement, e.g. noise reduction or echo cancellation
- G10L21/0208—Noise filtering
-
- 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
Definitions
- the present invention relates to a method for eliminating interference signal components in an input signal of an auditory system, an application of the method for operating a hearing aid and a hearing aid.
- hearing aids are used in people with impaired hearing, the aim being first of all to compensate for the hearing damage as completely as possible.
- the acceptance of a hearing aid is increased in the hearing aid wearer in particular if the hearing aid fulfills its tasks satisfactorily even in an environment with strong background noises, in other words if the speech intelligibility for the hearing aid wearer is high even with strong interference signals.
- hearing aid means both so-called hearing aids, which are used to correct a hearing impairment of a person, and all other acoustic communication systems, such as radio equipment.
- hearing aids which are equipped with the so-called directional microphone technology.
- This technology allows spatial filtering to be carried out, so that interference noises coming from a direction other than a useful signal - for example from behind or from the side - can be weakened or even eliminated.
- the method also known, for example, under the term "bea forming" requires at least two microphones in the hearing aid.
- One of the main disadvantages of these known hearing aids is the fact that noise that comes from the same direction as the useful signal cannot be attenuated, let alone eliminated.
- a third reference is made to hearing aids in which the input signals are processed using signal processing algorithms with the aim of suppressing or at least attenuating the interference signals contained in the input signal, or of amplifying the corresponding useful signal components (so-called “noise canceling").
- the interference signal components present in the input signal are estimated in a plurality of frequency bands, any interference signal components subsequently being subtracted from the input signal of the hearing aid in order to generate the useful signal, or the interference components are attenuated.
- This procedure is also referred to as "spectral subtraction”. From the European patent specification number EP-B1-0 534 837 is a known method that leads to acceptable results. However, the spectral subtraction method only works well if the interference signal components are band-limited and stationary.
- the useful signal voice signal, which is non-stationary
- the interference signal components cannot be distinguished.
- the spectral subtraction works poorly in this case and the speech intelligibility is greatly reduced by the non-eliminated noise components.
- the use of the spectral subtraction can also impair the useful signal.
- the present invention is therefore based on the object of specifying a method in which the elimination of interference signal components is improved.
- the method according to the invention consisting of a signal analysis phase and a processing phase, makes it possible to extract any useful signal from any input signals and to specifically switch off unwanted interference components or to generate new signal components. A much better noise reduction can be achieved that is adapted to the surrounding situation.
- the useful signals are not impaired by the method according to the invention.
- non-stationary noise can be removed from the input signal.
- FIG. 2 again in a schematic representation, a part of the block diagram according to Fig. 1 and
- Fig. 3 shows a further embodiment of the partial block diagram shown in Fig. 2.
- FIG. 1 shows a block diagram by means of which the method according to the invention, consisting of a signal analysis phase I and a signal processing phase II, is described.
- the signal analysis phase I an input signal ES, which can be applied to an auditory system and which can have both interference and useful signal components SS or NS, is analyzed on the basis of auditor-based principles, which will be explained in the following.
- SS or NS useful signal components
- Signal processing phase II is carried out to eliminate noise, the knowledge gained in signal analysis phase I about the interference signal components SS and the useful signal components NS being used for this purpose.
- the first consists in removing the undesired interference signal components SS from the input signal ES in order to obtain the useful signal (s) NS, or in that the undesired interference signal components SS are suppressed or attenuated.
- the second uses a synthesis to generate the useful signal NS or NS '.
- the method according to the invention is based on an audio-based signal analysis. At least auditory-based features such as loudness, spectral profile (timbre), harmonic structure (pitch), common settling and decaying times (on- / offset) become coherent
- Zero crossing rates, temporal level fluctuations, different modulation frequencies, spectral focus, amplitude distribution, etc. - are extracted.
- the features are extracted either from the time signal or in different frequency bands.
- a hearing-appropriate filter bank E. Zwicker, H. Fastl, Psychoacoustics - Facts and Models, Springer Verlag, 1999
- a technically based filter bank such as e.g. B. an FFT or wavelet filter bank can be used.
- the evaluation of the ascertained features allows the identification and differentiation of different signal components SA X to SA j .
- Individual signal components SA X to SA ,, useful signals NS of interest or interference signals SS to be eliminated are.
- FIG. 2 shows the process steps taking place in signal analysis phase I in a block diagram. These are two units connected in series, namely a feature extraction unit 20 and a grouping unit 21.
- Grouping unit 21 using the primitive method Grouping, which has been described by AS Bregman with the title “Auditory Scene Analysis” (MIT Press, Cambridge, London, 1990).
- This method which is known per se, is context-independent and is based on the sequential sequence of various work steps with which the input signal ES is divided into different signal components SA X to SA, which are assigned to the different sound sources, on the basis of the extracted features M x to M ⁇ .
- This approach is also called “bottom-up” or “data-driven”.
- the publication by G. Brown entitled “Computational Auditory Scene Analysis: A Representational Approach” (Ph.D. Thesis, University of Sheffield, 1992) and the publication by M.
- a hypothesis unit 22 also operates in the signal analysis phase I. It is already clear from the structure shown in FIG. 3 that not only a sequential sequence of work steps is provided, but that, taking into account previous knowledge V, it is fed to the hypothesis unit 22 a hypothesis H about the type of input signal ES is generated on the basis of the extracted features M 1 to M j and on the basis of the signal components SA X to SA-. Based on the hypothesis H, both the feature extraction in the feature extraction unit 20 and the grouping of the features ⁇ to M ⁇ are preferably adapted to a current situation.
- the hypothesis H is thus generated by means of a “bottom-up” analysis and on the basis of prior knowledge V about the acoustic context.
- the hypothesis H in turn defines the context of the grouping and is based on knowledge and assumptions about the acoustic environment as well as on the grouping itself.
- the process steps taking place in signal analysis phase I are therefore no longer purely sequential, but a feedback loop is provided which enables adaptation to the respective situation.
- Speakers of whom prior knowledge consists, for example, of the type of language, typical pitch frequencies, speech speed and formant frequencies, should be improved significantly compared to the situation where no information about the speaker is taken into account.
- H piteh (z) 1 - Z- k ,
- the analysis of coherent modulations makes it possible to group spectral components that are modulated with the same temporal pattern, or to separate them if the patterns are different. In particular, different speech components in the signal can be identified and subsequently separated.
- the actual noise suppression can be carried out in the signal processing phase II (FIG. 1).
- One embodiment of the method according to the invention consists in reducing or suppressing the interference components in the frequency bands in which they occur. The same The result is the measure that identified useful signal components are amplified.
- the combination of lowering or suppressing interference signal components and the amplification of useful signal components belongs to the same solution range according to the invention.
- Process steps consist in re-mixing the grouped signal components identified as useful signals.
- a preferred embodiment variant is that the various fundamental frequencies of the useful signals are extracted by analysis of the harmonic structure (pitch analysis) and that the spectral levels of the harmonic waves are determined, for example, by loudness or LPC analysis (S. Launer, "Loudness Perception in Listeners with Sensorineural Hearing Loss ", thesis, University of Oldenburg, 1995, JR Deller, JG Proakis, JHL Hansen," Discrete-Time Processing of Speech Signals ", Macmillan Publishing Company, 1993). A completely synthetically generated signal for tonal speech components can then be generated from this information.
- the method according to the invention consisting of signal analysis phase I and signal processing phase II, therefore makes it possible to use any input signals ES extract any useful signal NS and specifically switch off unwanted interference components SS or regenerate desired signal components NS. This means that much better noise suppression can be achieved that is adapted to the surrounding situation.
- the useful signals are not impaired by the method according to the invention.
- non-stationary noise can be removed from the input signal ES.
- the method consists in combining it with the methods mentioned at the beginning such as beamforming, binaural approaches for noise localization and suppression or by classifying the acoustic environment and selecting the appropriate program.
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- Engineering & Computer Science (AREA)
- Computational Linguistics (AREA)
- Quality & Reliability (AREA)
- Signal Processing (AREA)
- Health & Medical Sciences (AREA)
- Audiology, Speech & Language Pathology (AREA)
- Human Computer Interaction (AREA)
- Physics & Mathematics (AREA)
- Acoustics & Sound (AREA)
- Multimedia (AREA)
- Soundproofing, Sound Blocking, And Sound Damping (AREA)
- Analogue/Digital Conversion (AREA)
- Circuit For Audible Band Transducer (AREA)
Abstract
Description
Claims
Priority Applications (7)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
JP2001547942A JP2004512700A (ja) | 2001-04-11 | 2001-04-11 | 音響システムの入力信号におけるノイズ信号成分の除去方法、同方法の適用及び補聴器 |
US09/832,587 US20020150264A1 (en) | 2001-04-11 | 2001-04-11 | Method for eliminating spurious signal components in an input signal of an auditory system, application of the method, and a hearing aid |
EP01919039A EP1380028A2 (de) | 2001-04-11 | 2001-04-11 | Verfahren zur elimination von störsignalanteilen in einem eingangssignal eines auditorischen systems, anwendung des verfahrens und ein hörgerät |
AU2001246278A AU2001246278B2 (en) | 2001-04-11 | 2001-04-11 | Method for the elimination of noise signal components in an input signal for an auditory system, use of said method and a hearing aid |
AU4627801A AU4627801A (en) | 2001-04-11 | 2001-04-11 | Method for the elimination of noise signal components in an input signal for an auditory system, use of said method and hearing aid |
CA002409835A CA2409835A1 (en) | 2001-04-11 | 2001-04-11 | Method for the elimination of noise signal components in an input signal for an auditory system, use of said method and a hearing aid |
PCT/CH2001/000236 WO2001047335A2 (de) | 2001-04-11 | 2001-04-11 | Verfahren zur elimination von störsignalanteilen in einem eingangssignal eines auditorischen systems, anwendung des verfahrens und ein hörgerät |
Applications Claiming Priority (2)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
US09/832,587 US20020150264A1 (en) | 2001-04-11 | 2001-04-11 | Method for eliminating spurious signal components in an input signal of an auditory system, application of the method, and a hearing aid |
PCT/CH2001/000236 WO2001047335A2 (de) | 2001-04-11 | 2001-04-11 | Verfahren zur elimination von störsignalanteilen in einem eingangssignal eines auditorischen systems, anwendung des verfahrens und ein hörgerät |
Publications (2)
Publication Number | Publication Date |
---|---|
WO2001047335A2 true WO2001047335A2 (de) | 2001-07-05 |
WO2001047335A3 WO2001047335A3 (de) | 2002-01-31 |
Family
ID=25705678
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
PCT/CH2001/000236 WO2001047335A2 (de) | 2001-04-11 | 2001-04-11 | Verfahren zur elimination von störsignalanteilen in einem eingangssignal eines auditorischen systems, anwendung des verfahrens und ein hörgerät |
Country Status (3)
Country | Link |
---|---|
US (1) | US20020150264A1 (de) |
AU (1) | AU4627801A (de) |
WO (1) | WO2001047335A2 (de) |
Cited By (3)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
EP1339256A2 (de) | 2003-03-03 | 2003-08-27 | Phonak Ag | Verfahren zur Herstellung von akustischen Geräten und zur Verringerung von Windstörungen |
EP1542500A2 (de) * | 2003-12-10 | 2005-06-15 | Siemens Audiologische Technik GmbH | Hörgerät mit Störgeräuschunterdrückung und entsprechendes Störgeräuschunterdrückungsverfahren |
US8184837B2 (en) | 2008-07-25 | 2012-05-22 | Siemens Medical Instruments Pte. Ltd. | Hearing aid with UV sensor and method of operation |
Families Citing this family (9)
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US6687187B2 (en) * | 2000-08-11 | 2004-02-03 | Phonak Ag | Method for directional location and locating system |
US7127076B2 (en) | 2003-03-03 | 2006-10-24 | Phonak Ag | Method for manufacturing acoustical devices and for reducing especially wind disturbances |
US20060182295A1 (en) * | 2005-02-11 | 2006-08-17 | Phonak Ag | Dynamic hearing assistance system and method therefore |
DK1819195T3 (da) * | 2006-02-13 | 2009-11-30 | Phonak Comm Ag | Fremgangsmåde og system til tilvejebringelse af hörehjælp til en bruger |
DE102006020832B4 (de) * | 2006-05-04 | 2016-10-27 | Sivantos Gmbh | Verfahren zum Unterdrücken von Rückkopplungen bei Hörvorrichtungen |
US20070282392A1 (en) * | 2006-05-30 | 2007-12-06 | Phonak Ag | Method and system for providing hearing assistance to a user |
EP1926087A1 (de) * | 2006-11-27 | 2008-05-28 | Siemens Audiologische Technik GmbH | Anpassung einer Hörvorrichtung an ein Sprachsignal |
EP2617127B2 (de) | 2010-09-15 | 2023-10-18 | Sonova AG | Verfahren und system zur bereitstellung einer hörhilfe für einen benutzer |
US9391580B2 (en) * | 2012-12-31 | 2016-07-12 | Cellco Paternership | Ambient audio injection |
Citations (2)
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WO1991003042A1 (en) | 1989-08-18 | 1991-03-07 | Otwidan Aps Forenede Danske Høreapparat Fabrikker | A method and an apparatus for classification of a mixed speech and noise signal |
US5727072A (en) | 1995-02-24 | 1998-03-10 | Nynex Science & Technology | Use of noise segmentation for noise cancellation |
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US4051331A (en) * | 1976-03-29 | 1977-09-27 | Brigham Young University | Speech coding hearing aid system utilizing formant frequency transformation |
DE2811454A1 (de) * | 1978-03-14 | 1979-09-20 | Hertz Inst Heinrich | Verfahren zur verbesserung der wiedergabequalitaet bandbegrenzt verfuegbarer sprache |
US5204906A (en) * | 1990-02-13 | 1993-04-20 | Matsushita Electric Industrial Co., Ltd. | Voice signal processing device |
US5680508A (en) * | 1991-05-03 | 1997-10-21 | Itt Corporation | Enhancement of speech coding in background noise for low-rate speech coder |
US5651071A (en) * | 1993-09-17 | 1997-07-22 | Audiologic, Inc. | Noise reduction system for binaural hearing aid |
FR2768547B1 (fr) * | 1997-09-18 | 1999-11-19 | Matra Communication | Procede de debruitage d'un signal de parole numerique |
US6246982B1 (en) * | 1999-01-26 | 2001-06-12 | International Business Machines Corporation | Method for measuring distance between collections of distributions |
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2001
- 2001-04-11 AU AU4627801A patent/AU4627801A/xx active Pending
- 2001-04-11 WO PCT/CH2001/000236 patent/WO2001047335A2/de active Application Filing
- 2001-04-11 US US09/832,587 patent/US20020150264A1/en not_active Abandoned
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WO1991003042A1 (en) | 1989-08-18 | 1991-03-07 | Otwidan Aps Forenede Danske Høreapparat Fabrikker | A method and an apparatus for classification of a mixed speech and noise signal |
US5727072A (en) | 1995-02-24 | 1998-03-10 | Nynex Science & Technology | Use of noise segmentation for noise cancellation |
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N. VIRAG: "Ph.D. Thesis", 1996, ECOLE POLYTECHNIQUE FEDERALE DE LAUSANNE, article "Speech enhancement based on masking properties of the human auditory system" |
V. HOHMANN: "International Hearing Aid Reserch Conference", 2000, LAKE TAHOE, article "Binaural Noise Reduction and a Localization Model Based on the Statistics of Binaural Signal Parameters" |
VON M. UNOKI ET AL.: "A Method of Signal Extraction from Noisy Signal", 5TH EUROPEAN CONFERENCE ON SPEECH, COMMUNICATION AND TECHNOLOGY, 22 September 1997 (1997-09-22) |
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Cited By (9)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
EP1339256A2 (de) | 2003-03-03 | 2003-08-27 | Phonak Ag | Verfahren zur Herstellung von akustischen Geräten und zur Verringerung von Windstörungen |
EP2249586A2 (de) | 2003-03-03 | 2010-11-10 | Phonak AG | Verfahren zur Herstellung von akustischen Geräten und zur Verringerung von Windstörungen |
EP2254352A2 (de) | 2003-03-03 | 2010-11-24 | Phonak AG | Verfahren zur Herstellung von akustischen Geräten und zur Verringerung von Windstörungen |
EP2254349A2 (de) | 2003-03-03 | 2010-11-24 | Phonak AG | Verfahren zur Herstellung von akustischen Geräten und zur Verringerung von Windstörungen |
EP2254351A2 (de) | 2003-03-03 | 2010-11-24 | Phonak AG | Verfahren zur Herstellung von akustischen Geräten und zur Verringerung von Windstörungen |
EP2254350A2 (de) | 2003-03-03 | 2010-11-24 | Phonak AG | Verfahren zur Herstellung von akustischen Geräten und zur Verringerung von Windstörungen |
EP1542500A2 (de) * | 2003-12-10 | 2005-06-15 | Siemens Audiologische Technik GmbH | Hörgerät mit Störgeräuschunterdrückung und entsprechendes Störgeräuschunterdrückungsverfahren |
EP1542500A3 (de) * | 2003-12-10 | 2009-11-11 | Siemens Audiologische Technik GmbH | Hörgerät mit Störgeräuschunterdrückung und entsprechendes Störgeräuschunterdrückungsverfahren |
US8184837B2 (en) | 2008-07-25 | 2012-05-22 | Siemens Medical Instruments Pte. Ltd. | Hearing aid with UV sensor and method of operation |
Also Published As
Publication number | Publication date |
---|---|
AU4627801A (en) | 2001-07-09 |
WO2001047335A3 (de) | 2002-01-31 |
US20020150264A1 (en) | 2002-10-17 |
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