Methods and apparatus for post-filtering MDCT domain audio coefficients in a decoder

• US 9,858,939 B2
• Filed: 05/10/2011
• Issued: 01/02/2018
• Est. Priority Date: 05/11/2010
• Status: Active Grant

• Current Assignee: Telefonaktiebolaget LM Ericsson
• Original Assignee: Telefonaktiebolaget LM Ericsson
• Inventors: Grancharov, Volodya, Sverrisson, Sigurdur
• Primary Examiner(s): WOZNIAK, JAMES S
• Application Number:
  US13/104,565
• Publication Number:
  US 20110282656A1
• Time in Patent Office: 2,429 Days
• Field of Search: 704205, 704226, 704228
• CPC Class Codes: G10L 19/02 using spectral analysis, e.g. transform vocoders or subband vocoders
• CPC Class Codes: G10L 19/26 Pre-filtering or post-filtering

Abstract

Method and decoder for processing of audio signals. The method and decoder relate to deriving a processed vector {circumflex over (d)} by applying a post-filter directly on a vector d comprising quantized MDCT domain coefficients of a time segment of an audio signal. The post-filter is configured to have a transfer function H which is a compressed version of the envelope of the vector d. A signal waveform is reconstructed by performing an inverse MDCT transform on the processed vector {circumflex over (d)}.

Claims

1. A method of operating a decoder comprising:

obtaining a vector d(k) comprising quantized Modified Discrete Cosine Transform (MDCT) domain coefficients of a time segment of an audio signal;

deriving a processed vector {circumflex over (d)}(k) by applying a post-filter directly on the vector d(k), the post-filter being configured to have a transfer function H(k),

H(k)={(abs[d(k)])/(max[abs(d)])}^a(k),

which is a compressed version of an envelope of the vector d(k), where k goes from 1 to the number of MDCT domain coefficients of the time segment of the audio signal, where max[abs(d)] is a maximum of an absolute value of the vector d(k), and a(k) is an emphasis component configured to control a post-filter aggressiveness over the MDCT spectrum; and

deriving a signal waveform by performing an inverse MDCT transform on the processed vector {circumflex over (d)}(k).

2. A method according to claim 1, where the maximum of the absolute value of the vector d(k) is a coefficient of |d| having a largest magnitude.

3. A method according to claim 1, wherein energy of the processed vector {circumflex over (d)}(k) is normalized to energy of the vector d(k).

4. A method according to claim 1, wherein the processed vector {circumflex over (d)}(k) is derived only when the time segment of the audio signal is determined to comprise speech.

5. A method according to claim 1, wherein the transfer function H(k) is limited when the time segment of the audio signal is determined to comprise at least one of unvoiced speech, background noise, and music.

6. A method according to claim 1, the maximum of the absolute value of the vector d(k) is an estimate of a maximum of the vector |d| obtained by recursive maximum tracking over the vector |d|.

7. A method according to claim 1, wherein the emphasis component a(k) is frequency dependent.

8. A decoder comprising:

a processor implementing;

a filter configured to derive a processed vector {circumflex over (d)}(k) by applying a post-filter directly on a vector d(k), wherein the vector d(k) comprises quantized Modified Discrete Cosine Transform (MDCT) domain coefficients of a time segment of an audio signal, the post-filter being configured to have a transfer function H(k),

H(k)={(abs[d(k)])/(max[abs(d)])}^a(k),

which is a compressed version of an envelope of the vector d(k), where k goes from 1 to the number of MDCT domain coefficients of the time segment of the audio signal, where max[abs(d)] is a maximum of an absolute value of the vector d(k), and a(k) is an emphasis component configured to control a post-filter aggressiveness over the MDCT spectrum, and

a converter configured to derive a signal waveform by performing an inverse MDCT transform on the processed vector {circumflex over (d)}(k).

9. A decoder according to claim 8, where the maximum of the absolute value of the vector d(k) is a coefficient of |d| having a largest magnitude.

10. A decoder according to claim 8, wherein the filter is further configured to normalize energy of the processed vector {circumflex over (d)}(k) to energy of the vector d(k).

11. A decoder according to claim 8, wherein the filter is further configured to derive {circumflex over (d)}(k) only when the time segment of the audio signal is determined to comprise speech.

12. A decoder according to claim 8, wherein the filter is further configured to limit the transfer function H(k) when the time segment of the audio signal is determined to comprise at least one of unvoiced speech, background noise, and music.

13. A decoder according to claim 8, wherein the maximum of the absolute value of the vector d(k) is an estimate of a maximum of the vector |d| obtained by recursive maximum tracking over the vector |d|.

14. A decoder according to claim 8, wherein the emphasis component a(k) is frequency dependent.

15. An audio handling entity comprising:

memory including computer program modules; and

a decoder coupled with the memory, the decoder being configured to execute the computer program modules of the memory to,

obtain a vector d(k) comprising quantized Modified Discrete Cosine Transform (MDCT) domain coefficients of a time segment of an audio signal,

derive a processed vector {circumflex over (d)}(k) by applying a post-filter directly on the vector d(k), the post-filter being configured to have a transfer function H(k),

H(k)={(abs[d(k)])/(max[abs(d)])}^a(k),

which is a compressed version of an envelope of the vector d(k), where k goes from 1 to the number of MDCT domain coefficients of the time segment of the audio signal, where max[abs(d)] is a maximum of an absolute value of the vector d(k), and a(k) is an emphasis component configured to control a post-filter aggressiveness over the MDCT spectrum, and

derive a signal waveform by performing an inverse MDCT transform on the processed vector {circumflex over (d)}(k).

16. An audio handling entity according to claim 15, wherein the maximum of the absolute value of the vector d(k) is an estimate of a maximum of the vector |d| obtained by recursive maximum tracking over the vector |d|.

17. An audio handling entity according to claim 15, wherein the emphasis component a(k) is frequency dependent.

18. An audio handling entity according to claim 15, where the maximum of the absolute value of the vector d(k) is a coefficient of |d| having a largest magnitude.

19. An audio handling entity according to claim 15, wherein energy of the processed vector {circumflex over (d)}(k) is normalized to energy of the vector d(k).

20. An audio handling entity according to claim 15, wherein the processed vector {circumflex over (d)}(k) is derived only when the time segment of the audio signal is determined to comprise speech.

21. An audio handling entity according to claim 15, wherein the transfer function H(k) is limited when the time segment of the audio signal is determined to comprise at least one of unvoiced speech, background noise, and music.