US 2005/0091042 A1Published application

Sound source separation using convolutional mixing and a priori sound source knowledge

AssigneeMicrosoft Corporation

InventorsAlejandro Acero, Steven Altschuler, Lani Wu

Life of this patent

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Abstract

Sound source separation, without permutation, using convolutional mixing independent component analysis based on a priori knowledge of the target sound source is disclosed. The target sound source can be a human speaker. The reconstruction filters used in the sound source separation take into account the a priori knowledge of the target sound source, such as an estimate the spectra of the target sound source. The filters may be generally constructed based on a speech recognition system. Matching the words of the dictionary of the speech recognition system to a reconstructed signal indicates whether proper separation has occurred. More specifically, the filters may be constructed based on a vector quantization codebook of vectors representing typical sound source patterns. Matching the vectors of the codebook to a reconstructed signal indicates whether proper separation has occurred. The vectors may be linear prediction vectors, among others.

Claims9

Dependent claims

An apparatus comprising:

a number of sound devices for recording a number of input sound source signals to generate a number of sound input device signals at least equal to the number of input sound source signals, the number of sound input devices at least equal to the number of input sound source signals, and the number of input sound source signals including a target input sound source signal and acoustical factor signals;
and,
a number of reconstruction filters configured to be applied to the number of sound input device signals according to a convolutional mixing independent component analysis (ICA) to generate at least one reconstructed input sound source signal separating the target input sound source signal from the number of sound input device signals without permutation, the number of reconstruction filters taking into account a priori knowledge regarding the target input sound source signal, wherein one of the at least one reconstructed input sound source signal corresponds to the target input sound source signal.

Dependencies are inferred from the claim text.

Facts

Application: 10/992,051Filed 18 Nov 2004
Priority: 26 Apr 2000
Published: 28 Apr 2005
Term ends: Not estimatedThe source records don’t support an estimate.

Classification5 codes

G10L 25/78
Speech or voice analysis techniques not restricted to a single one of groups G10L15/00 - G10L21/00: detection of presence or absence of voice signals
G10L 21/0264
Noise filtering: characterised by the type of parameter measurement, e.g. correlation techniques, zero crossing techniques or predictive techniques
G10L 2021/02082
Noise filtering: the noise being echo, reverberation of the speech
G10L 2021/02161
Characterised by the method used for estimating noise: number of inputs available containing the signal or the noise to be suppressed

Family

Application60/199,782Us provisional application · filed 26 Apr 2000
Application09/842,416Division · filed 25 Apr 2001
Application10/992,051Division · filed 18 Nov 2004
US 2001/0037195 A1Published application
US 6,879,952 B2Related patent
US 7,047,189 B2Related patent
US 2005/0091042 A1This patent

From the US filing history. Foreign family members aren’t listed.