Adaptive frequency prediction for encoding or decoding an audio signal

• US 8,532,983 B2
• Filed: 09/04/2009
• Issued: 09/10/2013
• Est. Priority Date: 09/06/2008
• Status: Active Grant

• Current Assignee: Huawei Technologies Co., Ltd. (Huawei Investment & Holding Co., Ltd.)
• Original Assignee: Huawei Technologies Co., Ltd. (Huawei Investment & Holding Co., Ltd.)
• Inventors: Gao, Yang
• Primary Examiner(s): Han, Qi
• Application Number:
  US12/554,619
• Publication Number:
  US 20100063802A1
• Time in Patent Office: 1,467 Days
• Field of Search: 704/201, 704/200, 704/203, 704/205, 704/500
• US Class Current: 704/201
• CPC Class Codes: G10L 19/24 Variable rate codecs, e.g. for generating different qualities using a scalable representation such as hierarchical encoding or layered encoding
• CPC Class Codes: G10L 21/038 using band spreading techniques

Abstract

In one embodiment, a method of transceiving an audio signal is disclosed. The method includes providing low band spectral information having a plurality of spectrum coefficients and predicting a high band extended spectral fine structure from the low band spectral information for at least one subband, where the high band extended spectral fine structure are made of a plurality of spectrum coefficients. The predicting includes preparing the spectrum coefficients of the low band spectral information, defining prediction parameters for the high band extended spectral fine structure and index ranges of the prediction parameters, and determining possible best indices of the prediction parameters, where determining includes minimizing a prediction error between a reference subband in high band and a predicted subband that is selected and composed from an available low band. The possible best indices of the prediction parameters are transmitted.

Claims

1. A method of transceiving an audio signal, the method comprising:

providing low band spectral information comprising a plurality of spectrum coefficients;

predicting a high band extended spectral fine structure from the low band spectral information for at least one subband, the high band extended spectral fine structure comprising a plurality of spectrum coefficients, wherein predicting comprises

preparing the spectrum coefficients of the low band spectral information,

defining prediction parameters for the high band extended spectral fine structure and index ranges of the prediction parameters, and

determining possible best indices of the prediction parameters, determining comprising minimizing a prediction error between a reference subband in high band and a predicted subband that is selected and composed from an available low band, wherein the steps of preparing, defining and determining are performed using a hardware-based audio encoder; and

transmitting the possible best indices of the prediction parameters.

2. The method of claim 1, wherein the prediction parameters comprise prediction lag and sign.

3. The method of claim 1, wherein predicting comprises intra frame frequency predicting.

4. The method of claim 1, wherein the available low band is modified before predicting if a modification is performed in both an encoder and a decoder.

5. The method of claim 1, wherein minimizing the prediction error comprises minimizing the expression:

6. The method of claim 5, wherein minimizing the prediction error further comprises maximizing the expression:

7. The method of claim 1, further comprising receiving the possible best indices of the prediction parameters.

8. The method of claim 7, wherein an extended spectral fine structure of the at least one subband in high band is produced from the received possible best indices of the prediction parameters according to the expression:

Ŝ

_p(k)=Ŝ

_HB(k)=S_BWE(k)=S_h(k)=sign·

Ŝ

_LB(k+k′

_p)

wherein k_p′ and

sign comprise prediction parameters, k_p′

comprises a prediction lag, sign comprises a value of either 1 or −

1, Ŝ

_LB(·

) represents the available low band, and Ŝ

_p(·

)=Ŝ

_HB(·

)=S_BWE(·

)=S_h(·

) comprises a predicted portion of said extended subband.

9. The method of claim 8, further comprising scaling a final energy of each predicted subband in the high band based on received spectral envelope information.

10. The method of claim 1, wherein transmitting is performed with a limited bit budget.

11. The method of claim 1, wherein transmitting comprises transmitting the possible best indices of the prediction parameters over a voice over internet protocol (VOIP) network.

12. The method of claim 1, wherein transmitting comprises transmitting the possible best indices of the prediction parameters over a voice over a mobile telephone network.

13. The method of claim 1, further comprising receiving an audio signal and converting the audio signal to the low band spectral information.

14. The method of claim 13, wherein receiving an audio signal comprises receiving a speech signal from a microphone.

15. The method of claim 1, wherein predicting is performed in a log, linear or weighted domain.

16. The method of claim 1, wherein using the hardware-based audio encoder comprises performing the steps of preparing, defining and determining using a processor.

17. The method of claim 1, wherein using the hardware-based audio encoder comprises performing the steps of preparing, defining and determining using dedicated hardware.

18. A system for transmitting an audio signal, the system comprising:

a transmitter comprising a hardware-based audio coder, the hardware-based audio coder configured to;

convert the audio signal to low band spectral information comprising a plurality of spectrum coefficients,

predict a high band extended spectral fine structure from the low band spectral information for at least one subband, the high band extended spectral fine structure comprising a plurality of spectrum coefficients,

prepare the spectrum coefficients of the low band spectral information,

define prediction parameters for the high band extended spectral fine structure and index ranges of the prediction parameters,

determine possible best indices of the prediction parameters, wherein a prediction error is minimized between a reference subband in high band and a predicted subband that is selected and composed from an available low band, and

produce an encoded audio signal comprising the possible best indices of the prediction parameters;

wherein, the transmitter is configured to transmit the encoded audio signal.

19. The system of claim 18, wherein the transmitter is configured to operate over a voice over internet protocol (VOW) system.

20. The system of claim 18, wherein the transmitter is configured to operate over a cellular telephone network.

21. The system of claim 18, further comprising a receiver configured to receive the encoded audio signal, the receiver comprising a decoder configured to produce an extended fine structure of the at least one subband based on received possible best indices of the prediction parameters.

22. The system of claim 18, wherein the hardware-based audio coder comprises a processor.

23. The system of claim 18, wherein the hardware-based audio coder comprises dedicated hardware.