Effective deployment of temporal noise shaping (TNS) filters

• US 9,305,561 B2
• Filed: 05/24/2013
• Issued: 04/05/2016
• Est. Priority Date: 03/29/2000
• Status: Expired due to Fees

• Current Assignee: Fraunhofer Gesellschaft Zur Foerderung Der Angewandten Forsching E.V., University of Maryland, College Park
• Original Assignee: AT&T Intellectual Property I LP (AT&T, Inc.)
• Inventors: Johnston, James David, Kuo, Shyh-Shiaw
• Primary Examiner(s): Goins, Davetta W
• Assistant Examiner(s): Sellers, Daniel
• Application Number:
  US13/901,891
• Publication Number:
  US 20130261779A1
• Time in Patent Office: 1,047 Days
• US Class Current: 1/1
• CPC Class Codes: G10L 19/03 Spectral prediction for preventing pre-echo; Temporary noise shaping [TNS], e.g. in MPEG2 or MPEG4

Abstract

The MPEG2 Advanced Audio Coder (AAC) standard limits the number of filters used to either one filter for a “short” block or three filters for a “long” block. In cases where the need for additional filters is present but the limit of permissible filters has been reached, the remaining frequency spectra are simply not covered by TNS. Two solutions are proposed to deploy TNS filters in order to get the entire spectrum of the signal into TNS. The first method involves a filter bridging technique and complies with the current AAC standard. The second method involves a filter clustering technique. Although the second method is both more efficient and accurate in capturing the temporal structure of the time signal, it is not AAC standard compliant. Thus, a new syntax for packing filter information derived using the second method for transmission to a receiver is also outlined.

Claims

1. A method comprising:

calculating a filter for each frequency band of a plurality of frequency bands, to yield filters, the filters comprising coefficients;

determining a distance between each of the coefficients, to yield distances;

merging the filters based on a shortest distance of the distances and based on energies in each of the frequency bands covered by the filters, to yield merged filters; and

processing audio signals using the merged filters.

2. The method of claim 1, wherein the filters are temporal noise shaping filters.

3. The method of claim 1, wherein the coefficients are partial autocorrelation coefficients.

4. The method of claim 1, wherein merging of the filters comprises calculating a new filter for a frequency range comprising the adjacent frequency bands of the filters with the shortest distance.

5. The method of claim 1, wherein merging of the filters comprises calculating a temporal noise filter for a frequency range comprising adjacent frequency bands of the filters.

6. The method of claim 1, wherein processing of the audio signals comprises recalculating the merged filters for a strongest audio signal in a temporal noise shape band.

7. The method of claim 1, further comprising repeating the calculating of the filter for each frequency band and the determining of the distance between each of the coefficients until the shortest distance is determined.

8. A system comprising:

a processor; and

a computer-readable storage medium having instructions stored which, when executed by the processor, result in the processor performing operations comprising;

calculating a filter for each frequency band of a plurality of frequency bands, to yield filters, the filters comprising coefficients;

determining a distance between each of the coefficients, to yield distances;

merging the filters based on a shortest distance of the distances and based on energies in each of the frequency bands covered by the filters, to yield merged filters; and

processing audio signals using the merged filters.

9. The system of claim 8, wherein the filters are temporal noise shaping filters.

10. The system of claim 8, wherein the coefficients are partial autocorrelation coefficients.

11. The system of claim 8, wherein merging of the filters comprises calculating a new filter for a frequency range comprising the adjacent frequency bands of the filters with the shortest distance.

12. The system of claim 8, wherein merging of the filters comprises calculating a temporal noise filter for a frequency range comprising adjacent frequency bands of the filters.

13. The system of claim 8, wherein processing of the audio signals comprises recalculating the merged filters for a strongest audio signal in a temporal noise shape band.

14. The system of claim 8, the computer-readable storage medium having additional instruction stored which result in the operations further comprising repeating the calculating of the filter for each frequency band and the determining of the distance between each of the coefficients until the shortest distance is determined.

15. A computer-readable storage device having instructions stored which, when executed by a computing device, result in the computing device performing operations comprising:

calculating a filter for each frequency band of a plurality of frequency bands, to yield filters, the filters comprising coefficients;

determining a distance between each of the coefficients, to yield distances;

merging the filters based on a shortest distance of the distance sand based on energies in each of the frequency bands covered by the filters, to yield merged filters; and

processing audio signals using the merged filters.

16. The computer-readable storage device of claim 15, wherein the filters are temporal noise shaping filters.

17. The computer-readable storage device of claim 15, wherein the coefficients are partial autocorrelation coefficients.

18. The computer-readable storage device of claim 15, wherein merging of the filters comprises calculating a new filter for a frequency range comprising the adjacent frequency bands of the filters with the shortest distance.

19. The computer-readable storage device of claim 15, wherein merging of the filters comprises calculating a temporal noise filter for a frequency range comprising adjacent frequency bands of the filters.

20. The computer-readable storage device of claim 15, wherein processing of the audio signals comprises recalculating the merged filters for a strongest audio signal in a temporal noise shape band.