Encoder and method for encoding an audio signal with reduced background noise using linear predictive coding

• US 10,692,510 B2
• Filed: 03/14/2018
• Issued: 06/23/2020
• Est. Priority Date: 09/25/2015
• Status: Active Grant

• Current Assignee: Fraunhofer Gesellschaft Zur Foerderung Der Angewandten Forsching E.V.
• Original Assignee: Fraunhofer Gesellschaft Zur Foerderung Der Angewandten Forsching E.V.
• Inventors: Fischer, Johannes, Backstrom, Tom, Jokinen, Emma
• Primary Examiner(s): Yen, Eric
• Application Number:
  US15/920,907
• Publication Number:
  US 20180204580A1
• Time in Patent Office: 832 Days
• CPC Class Codes: G10L 19/005 Correction of errors induced by the transmission channel, if related to the coding algorithm
• CPC Class Codes: G10L 19/012 Comfort noise or silence coding
• CPC Class Codes: G10L 19/06 Determination or coding of the spectral characteristics, e.g. of the short-term prediction coefficients
• CPC Class Codes: G10L 19/08 Determination or coding of the excitation function; Determination or coding of the long-term prediction parameters
• CPC Class Codes: G10L 19/125 Pitch excitation, e.g. pitch synchronous innovation CELP [PSI-CELP]
• CPC Class Codes: G10L 19/16 Vocoder architecture
• CPC Class Codes: G10L 19/265 Pre-filtering, e.g. high frequency emphasis prior to encoding
• CPC Class Codes: G10L 21/0208 Noise filtering
• CPC Class Codes: G10L 21/0216 characterised by the method used for estimating noise
• CPC Class Codes: G10L 21/0224 Processing in the time domain
• CPC Class Codes: G10L 21/0232 Processing in the frequency domain
• CPC Class Codes: G10L 21/0308 characterised by the type of parameter measurement, e.g. correlation techniques, zero crossing techniques or predictive techniques
• CPC Class Codes: G10L 21/0364 for improving intelligibility
• CPC Class Codes: G10L 25/12 the extracted parameters being prediction coefficients

Abstract

It is shown an encoder for encoding an audio signal with reduced background noise using linear predictive coding. The encoder includes a background noise estimator configured to estimate background noise of the audio signal, a background noise reducer configured to generate background noise reduced audio signal by subtracting the estimated background noise of the audio signal from the audio signal, and a predictor configured to subject the audio signal to linear prediction analysis to obtain a first set of linear prediction filter (LPC) coefficients and to subject the background noise reduced audio signal to linear prediction analysis to obtain a second set of linear prediction filter (LPC) coefficients. Furthermore, the encoder includes an analysis filter composed of a cascade of time-domain filters controlled by the obtained first set of LPC coefficients and the obtained second set of LPC coefficients.

Claims

1. Encoder for encoding an audio signal with reduced background noise using linear predictive coding, the encoder comprising:

a background noise estimator configured to estimate a representation of background noise of the audio signal;

a background noise reducer configured to generate a representation of a background noise reduced audio signal by subtracting the estimated representation of the background noise of the audio signal from a representation of the audio signal;

a predictor configured to subject the representation of the audio signal to linear prediction analysis to acquire a first set of linear prediction filter (LPC) coefficients and to subject the representation of the background noise reduced audio signal to linear prediction analysis to acquire a second set of linear prediction filter (LPC) coefficients; and

an analysis filter composed of a cascade of time-domain filters controlled by the acquired first set of LPC coefficients and the acquired second set of LPC coefficients to acquire a residual signal from the audio signal;

wherein the encoder is implemented using a hardware apparatus, or using a computer, or using a combination of a hardware apparatus and a computer.

2. Encoder according to claim 1, wherein the cascade of time domain filters comprises a first linear prediction filter and a second linear prediction filter which use the acquired first set of LPC coefficients followed by an inverse of a third linear prediction filter which uses the acquired second set of LPC coefficients.

3. Encoder according to claim 1, wherein the cascade of time-domain filters is a Wiener filter.

4. Encoder according to claim 1,

wherein the background noise estimator is configured to estimate an autocorrelation of the background noise as the estimated representation of the background noise;

wherein the background noise reducer is configured to generate the representation of the background noise reduced audio signal by subtracting the autocorrelation of the background noise from an autocorrelation of the audio signal, wherein the autocorrelation of the audio signal is the representation of the audio signal and wherein the representation of the background noise reduced audio signal is an autocorrelation of a background noise reduced audio signal.

5. Encoder according to claim 1, wherein the estimated representation of the background noise of the audio signal is an autocorrelation of the background noise of the audio signal and the representation of the audio signal is an autocorrelation of the audio signal.

6. Encoder according to claim 1, further comprising a transmitter configured to transmit the second set of LPC coefficients.

7. Encoder according to claim 1, further comprising a transmitter configured to transmit the residual signal.

8. Encoder according to claim 1, further comprising a quantizer configured to quantize and/or encode the residual signal before transmission.

9. Encoder according to claim 8, wherein the quantizer is configured to use code-excited linear prediction (CELP), entropy coding, or transform coded excitation (TCX).

10. Encoder according to claim 1, further comprising a quantizer configured to quantize and/or encode the second set of LPC coefficients before transmission.

11. System comprising:

an encoder for encoding an audio signal with reduced background noise using linear predictive coding, said encoder comprising;

a background noise estimator configured to estimate a representation of background noise of the audio signal;

a background noise reducer configured to generate a representation of a background noise reduced audio signal by subtracting the estimated representation of the background noise of the audio signal from a representation of the audio signal;

a predictor configured to subject the representation of the audio signal to linear prediction analysis to acquire a first set of linear prediction filter (LPC) coefficients and to subject the representation of the background noise reduced audio signal to linear prediction analysis to acquire a second set of linear prediction filter (LPC) coefficients; and

an analysis filter composed of a cascade of time-domain filters controlled by the acquired first set of LPC coefficients and the acquired second set of LPC coefficients to acquire a residual signal from the audio signal;

a decoder configured to decode the encoded audio signal,

wherein each of the encoder and the decoder is implemented using a hardware apparatus, or using a computer, or using a combination of a hardware apparatus and a computer.

12. Method for encoding an audio signal with reduced background noise using linear predictive coding, the method comprising:

estimating a representation of background noise of the audio signal;

generating a representation of a background noise reduced audio signal by subtracting the estimated representation of the background noise of the audio signal from a representation of the audio signal;

subjecting the representation of the audio signal to linear prediction analysis to acquire a first set of linear prediction filter (LPC) coefficients and subjecting the representation of the background noise reduced audio signal to linear prediction analysis to acquire a second set of linear prediction filter (LPC) coefficients; and

controlling a cascade of time domain filters by the acquired first set of LPC coefficients and the acquired second set of LPC coefficients to acquire a residual signal from the audio signal.

13. Non-transitory digital storage medium having a computer program stored thereon to perform a method for encoding an audio signal with reduced background noise using linear predictive coding, said method comprising:

estimating a representation of background noise of the audio signal;

generating a representation of a background noise reduced audio signal by subtracting the estimated representation of the background noise of the audio signal from a representation of the audio signal;

subjecting the representation of the audio signal to linear prediction analysis to acquire a first set of linear prediction filter (LPC) coefficients and subjecting the representation of the background noise reduced audio signal to linear prediction analysis to acquire a second set of linear prediction filter (LPC) coefficients; and

controlling a cascade of time domain filters by the acquired first set of LPC coefficients and the acquired second set of LPC coefficients to acquire a residual signal from the audio signal,

when said computer program is run by a computer.