EP 2916320 A1 20150909 - Multi-microphone method for estimation of target and noise spectral variances
Title (en)
Multi-microphone method for estimation of target and noise spectral variances
Title (de)
Multi-Mikrofonverfahren zur Schätzung von Ziel- und Rauschspektralvarianzen
Title (fr)
Procédé à plusieurs microphones pour l'estimation de variances spectrales d'une cible et du bruit
Publication
Application
Priority
EP 14158321 A 20140307
Abstract (en)
The application relates to a method of processing a noisy (e.g. reverberant) signal comprising a noise signal component and a target signal component, the method comprising a) Providing or receiving a time-frequency representation Yi(k,m) of a noisy signal yi(n) at an ith input unit, i=1, 2, ..., M, where M is larger than or equal to two, in a number of frequency bands and a number of time instances, k being a frequency band index and m being a time index; b) Providing characteristics of said target signal component and said noise signal component; and c) Estimating spectral variances or scaled versions thereof » V , » X of said noise signal component v and said target signal component x, respectively, as a function of frequency index k and time index m, said estimates of » V and » X being jointly optimal in maximum likelihood sense, based on the statistical assumptions that a) the time-frequency representations Y i (km), X i (k,m), and V i (k,m) of respective signals y i (n), and signal components x i (n), and v i (n) are zero-mean, complex-valued Gaussian distributed, b) that each of them are statistically independent across time m and frequency k, and c) that X i (k,m) and V i (k,m) are uncorrelated. The application further relates to an audio processing system and to the use of such audio processing device. An object of the present application is to provide a scheme for estimating the signal power as a function of time and frequency of a noise (e.g. reverberant) part of a noisy speech signal. An advantage of the invention is that it provides the basis for an improved intelligibility of an input speech signal. The invention may e.g. be used for hearing assistance devices, e.g. hearing aids, headsets, ear phones, active ear protection systems, handsfree telephone systems, mobile telephones.
IPC 8 full level
G10L 21/0208 (2013.01); G10L 21/0216 (2013.01); G10L 21/0232 (2013.01)
CPC (source: EP)
G10L 21/0208 (2013.01); G10L 21/0232 (2013.01); G10L 2021/02082 (2013.01); G10L 2021/02166 (2013.01); H04R 3/005 (2013.01); H04R 25/407 (2013.01)
Citation (applicant)
- US 2009248403 A1 20091001 - KINOSHITA KEISUKE [JP], et al
- WO 2012159217 A1 20121129 - PHONAK AG [CH], et al
- US 2013343571 A1 20131226 - RAYALA JITENDRA D [US], et al
- US 2010246844 A1 20100930 - WOLFF TOBIAS [DE], et al
- S. BRAUN; E.A.P. HABETS: "Dereverberation in noisy environments using reference signals and a miximum likelihood estimator", 21ST EUROPEAN SIGNAL PROCESSING CONFERENCE (EUSIPCO 2013, pages 5
- ARTHUR SCHAUB: "Digital hearing Aids", 2008, THIEME MEDICAL. PUB.
- S. HAYKIN: "Prentice Hall Information and System Sciences Series", 2001, article "Adaptive Filter Theory"
- Y. HIOKA; K. NIWA; S. SAKAUCHI; K. FURUYA; Y. HANEDA: "Estimating Direct-to-Reverberant Energy Ratio Using D/R Spatial Correlation Matrix Model", IEEE TRANS. AUDIO, SPEECH, AND LANGUAGE PROCESSING, vol. 19, 8 November 2011 (2011-11-08), pages 2374 - 2384, XP011476700, DOI: doi:10.1109/TASL.2011.2134091
- P.C. LOIZOU: "Speech Enhancement: Theory and Practice", February 2013, CRC PRESS
- Y. EPHRAIM; D. MALAH: "Speech Enhancement Using a Minimum Mean-Square Error Short-Time Spectral Amplitude Estimator", IEEE TRANS. ACOUSTICS, SPEECH, AND SIGNAL PROCESSING, vol. ASSP-32, no. 6, December 1984 (1984-12-01), pages 1109 - 1121, XP002435684, DOI: doi:10.1109/TASSP.1984.1164453
- U. KJEMS; J. JENSEN: "Maximum likelihood based noise covariance matrix estimation for multi-microphone speech enhancement", 20TH EUROPEAN SIGNAL PROCESSING CONFERENCE (EUSIPCO 2012, 2012, pages 295 - 299, XP032254727
- H. YE; R.D. DEGROAT: "Maximum likelihood DOA estimation and asymptotic Cram'er-Rao bounds for additive unknown colored noise", SIGNAL PROCESSING, IEEE TRANSACTIONS ON, vol. 43, no. 4, 1995, pages 938 - 949
Citation (search report)
- [A] EP 2701145 A1 20140226 - RETUNE DSP APS [DK], et al
- [I] HIKARU SHIMIZU ET AL: "Isotropic Noise Suppression in the Power Spectrum Domain by Symmetric Microphone Arrays", APPLICATIONS OF SIGNAL PROCESSING TO AUDIO AND ACOUSTICS, 2007 IEEE WO RKSHOP ON, IEEE, PI, 1 October 2007 (2007-10-01), pages 54 - 57, XP031167100, ISBN: 978-1-4244-1618-9
Designated contracting state (EPC)
AL AT BE BG CH CY CZ DE DK EE ES FI FR GB GR HR HU IE IS IT LI LT LU LV MC MK MT NL NO PL PT RO RS SE SI SK SM TR
Designated extension state (EPC)
BA ME
DOCDB simple family (publication)
DOCDB simple family (application)
EP 14158321 A 20140307