Estimation of noise in a speech signal

• US 20070033020A1
• Filed: 01/23/2004
• Published: 02/08/2007
• Est. Priority Date: 02/27/2003
• Status: Abandoned Application

• Current Assignee: Motorola, Inc. (Motorola Solutions, Inc.)
• Original Assignee: Motorola, Inc. (Motorola Solutions, Inc.)
• Inventors: Pearce, David, (Kelleher) Francois, Holly
• Application Number:
  US10/547,161
• Publication Number:
  US 20070033020A1
• Time in Patent Office: Days
• US Class Current: 704/226
• CPC Class Codes: G10L 15/20 Speech recognition techniques specially adapted for robustness in adverse environments, e.g. in noise, of stress induced speech G10L21/02 takes precedence
• CPC Class Codes: G10L 2021/02166 Microphone arrays; Beamforming
• CPC Class Codes: G10L 21/0208 Noise filtering

Abstract

A speech communication or computing device comprises at least one speech input device for receiving noisy speech uttered by a speaker. A speech processing function comprises a voice recognition function, which comprises a noise reduction function (235) having a Wiener Filter (335) with adjustable filter co-efficients. The speech input device also comprises multiple microphones (142, 144) configured to provide a substantially continuous noise signal to a noise spectrum estimation function (325) of the noise reduction function (235) to provide a substantially continuous estimate of noise. The noise estimate is used to adjust the filter co-efficients of the Wiener Filter (335), thereby removing noise from the noisy speech. A microphone array and a method for speech recognition are also described. By using the noise estimate from, say, a microphone array, the Wiener filter coefficients can be updated substantially continuously, for example, each speech frame. This enables the noise to be tracked more closely than in known techniques. As the noise within a speech signal is tracked more closely, it can therefore be removed more effectively.

Claims

1. A speech communication or computing device (100) comprising:

at least one speech input device for receiving noisy speech uttered by a speaker; and

a speech processing function (130), operably coupled to the speech input device, having a voice recognition function (140) for recognising speech uttered by the speaker, wherein the voice recognition function (140) comprises;

a noise reduction function (235), having a Wiener Filter (335) with adjustable filter coefficients;

wherein the speech communication or computing device (100) is characterised in that;

the at least one speech input device comprises multiple microphones (142, 144) configured to provide a substantially continuous noise signal; and

the noise reduction function (235) comprises a noise spectrum estimation function (325) to provide a substantially continuous estimate of noise to adjust said filter coefficients of said Wiener Filter (335), thereby removing noise from said noisy speech.

2. The speech communication or computing device (100) according to claim 1, the speech communication or computing device (100) further characterised by said multiple microphones comprising at least one beamforming microphone array configured to provide a null on the speaker (405) to provide a substantially continuous noise signal.

3. The speech communication or computing device (100) according to claim 1, the speech communication or computing device (100) further characterised by a noisy speech spectrum estimation function (320), operationally distinct from said noise spectrum estimation function (325), such that said spectrum estimates for said noisy speech and said noise are performed substantially independently.

4. The speech communication or computing device (100) of claim 1, wherein said noise spectrum estimation function (325) provides a substantially continuous estimate of noise that updates said Wiener Filter coefficients substantially every speech frame.

5. The speech communication or computing device (100) according to claim 4, wherein the at least one microphone array is configured to provide both said noisy speech signal, for example via an output from a microphone from one or said multiple microphones, and said noise signal, for example via a microphone array output.

6. The speech communication or computing device (100) of claim 1, wherein said noise estimate is used to calculate coefficients of a Wiener Filter.

7. The speech communication or computing device (100) of claim 1, wherein the speech communication or computing device (100) is configured for operation as a distributed speech recognition device.

8. The speech communication or computing device (100) of claim 1, wherein the noise estimate is used to calculate coefficients of a Wiener Filter in accordance with the ETSI Advanced Front End distributed speech recognition Wiener Filter.

9. A method for speech recognition (600) in a speech communication or computing device (100) the method comprising the steps of:

receiving noisy speech (605) uttered by a speaker;

filtering (610) said noisy speech using a Wiener Filter to remove noise from said noisy speech; and

recognising speech (625) uttered by the speaker from said filtered noisy speech;

wherein the method is characterised by the steps of;

estimating (615) a noise component of said noisy speech uttered by said speaker in a substantially continuous manner from multiple microphones (142, 144) configured to provide a substantially continuous noise signal; and

using said estimated noise (620) in a substantially continuous manner to adjust filter coefficients of said Wiener Filter, thereby removing noise from said noisy speech on a substantially continuous basis.

10. (canceled)