Systems and methods for audio signal analysis and modification

• US 20070010999A1
• Filed: 05/30/2006
• Published: 01/11/2007
• Est. Priority Date: 05/27/2005
• Status: Active Grant

• Current Assignee: Samsung Electronics Co. Ltd.
• Original Assignee: Audience Corporation
• Inventors: Klein, David, Watts, Lloyd, Mont-Reynaud, Bernard, Malinowski, Stephen
• Granted Patent: US 8,315,857 B2
• Time in Patent Office: Days
• US Class Current: 704/211
• CPC Class Codes: G10L 19/04 using predictive techniques

Abstract

Systems and methods for modification of an audio input signal are provided. In exemplary embodiments, an adaptive multiple-model optimizer is configured to generate at least one source model parameter for facilitating modification of an analyzed signal. The adaptive multiple-model optimizer comprises a segment grouping engine and a source grouping engine. The segment grouping engine is configured to group simultaneous features segments to generate at least one segment model. The at least one segment model is used by the source grouping engine to generate at least one source model, which comprises the at least one source model parameter. Control signals for modification of the analyzed signal may then be generated based on the at least one source model parameter.

Claims

1. A method for modification of an audio input signal, comprising:

comparing at least one observed segment model parameter with at least one predicted segment model parameter;

configuring a source model based on the comparison; and

generating at least one source model parameter based on the configured source model, the at least one source model parameter facilitating modification of an analyzed signal.

2. The method of claim 1 further comprising determining if the source model comprises a best fit source model.

3. The method of claim 2 wherein the determining is based on a cost analysis.

4. The method of claim 1 wherein configuring the source model comprises creating the source model.

5. The method of claim 1 wherein configuring the source model comprises adjusting the source model if the source model is not a best fit source model.

6. The method of claim 1 further comprising generating the at least one observed segment model parameter based on a configured segment model.

7. The method of claim 6 further comprising comparing an observed feature segment with a predicted feature segment, wherein the configured segment model is based on the comparison.

8. The method of claim 7 further comprising generating the observed feature segments utilizing spectro-shape trackers.

9. The method of claim 1 further comprising generating the analyzed signal by converting the audio input signal into a frequency domain.

10. The method of claim 1 further comprising generating at least one control signal based on the at least one source model parameter, the at least one control signal controlling the modification of the analyzed signal.

11. A system for modification of an audio input signal, comprising:

an adaptive multiple-model optimizer configured to generate at least one source model parameter for facilitating modification of an analyzed signal, the adaptive multiple-model optimizer further comprising,

a segment grouping engine configured to group simultaneous features segments to generate at least one segment model; and

a source grouping engine configured to generate at least one source model based on the at least one segment model, the at least one source model providing the at least one source model parameter.

12. The system of claim 11 further comprising a feature extractor configured to extract the feature segments utilized by the segment grouping engine.

13. The system of claim 12 wherein the feature extractor comprises a spectral peak tracker to track spectral peaks of the analyzed signal.

14. The system of claim 12 wherein the feature extractor comprises a tone tracker configured to determine feature segments associated with tones.

15. The system of claim 12 wherein the feature extractor comprises a transient tracker configured to determine feature segments associated with transients.

16. The system of claim 12 wherein the feature extractor comprises a noise tracker configured to determine feature segments associated with noise.

17. The system of claim 11 further comprising an analysis module configured to convert the audio input signal into the analyzed signal, the analyzed signal being in a frequency domain.

18. The system of claim 11 further comprising an attention selector configured to generate control signals for the modification of the analyzed signal based on at least one source model parameter obtained from the at least one segment model.

19. The system of claim 11 further comprising an adjuster configured to modify the analyzed signal based on at least one source model parameter obtained from the at least one segment model.

20. A machine readable medium having embodied thereon a program, the program being executable by a machine to perform a method for modification of an audio input signal, the method comprising:

comparing at least one observed segment model parameter with at least one predicted segment model parameter;

configuring a source model based on the comparison; and

generating at least one source model parameter based on the configured source model, the at least one source model parameter facilitating modification of an analyzed signal.