Method and system for time scale modification utilizing feature vectors about zero crossing points

• US 5,749,064 A
• Filed: 03/01/1996
• Issued: 05/05/1998
• Est. Priority Date: 03/01/1996
• Status: Expired due to Term

• Current Assignee: Texas Instruments, Inc.
• Original Assignee: Texas Instruments, Inc.
• Inventors: Yim, Susan, Pawate, Basavaraj I.
• Primary Examiner(s): MacDonald, Allen R.
• Assistant Examiner(s): Dorvil, Richemond
• Application Number:
  US08/609,335
• Time in Patent Office: 795 Days
• Field of Search: 395/2.22, 395/2.35, 395/2.16, 395/2.2, 395/2.75, 395/2.09, 395/2.6, 704/213, 704/226, 704/207, 704/211, 704/266, 704/251, 704/200
• US Class Current: 704/213
• CPC Class Codes: G10H 1/366 with means for modifying or correcting the external signal, e.g. pitch correction, reverberation, changing a singer's voice
• CPC Class Codes: G10H 2250/035 Crossfade, i.e. time domain amplitude envelope control of the transition between musical sounds or melodies, obtained for musical purposes, e.g. for ADSR tone generation, articulations, medley, remix audio mixers H04H60/04
• CPC Class Codes: G10L 21/04 Time compression or expansion

Abstract

A method and system for implementing time scale modification wherein the method includes a Zero Crossing Module (22) for determining zero crossing points in the signal, a Feature Vector Module (24) for generating feature vectors describing the zero crossing points, a Distance Metric Module (26) for generating distance metrics describing local characteristics at the zero crossing points, an Alignment Module (28) for using the feature vectors and distance metrics for aligning and synchronizing the signal in accordance with local similarities and similarity over a selected time interval to generate a time scale modified signal. The present invention also includes a Cross Fade Module (20) for smoothing transitions between successive frames of the resulting time scale modified signal.

Claims

1. A method of generating a time scale modification of a signal comprising the steps of:

determining zero crossing points in the signal using a zero crossing module;

determining feature vectors in neighborhood of said zero crossing points based on absolute magnitude and slope of sample points before and after zero crossing points using a feature vector module wherein each feature vector has j dimensions;

determining distance metrics associated with said zero crossing points using said feature vectors bases on accumulation of differences for each of the j dimensions, each of said distance metrics to measure closeness of local characteristics between two of said zero crossing points, using a distance metric module;

finding minimum measure of said accumulation of differences for each of the dimensions; and

aligning the signal along similar segments using said feature vectors and said distance metrics based on said minimum measure of said accumulation of differences for each of the j dimensions to achieve the time scale modification of the signal using said alignment module.

2. The method of claim 1 further including the step of smoothing transitions between successive frames in the time scale modification of the signal using a cross fading function.

3. The method of claim 1 wherein said aligning step includes the step of searching for said similar segments based on local similarity and similarity over a time interval.

4. The method of claim 1 wherein said aligning step includes the step of synchronizing the signal in accordance of a count of said zero crossing points and a minimum distance metric between two of said zero crossing points.

5. The method of claim 1 wherein said local characteristics include absolute magnitude and slope of sample points at the neighborhood of said zero crossing points.

6. The system of claim 1 wherein said each of said zero crossing points, Z, is determined using the equation ##EQU14## where sgn(x m!)=1 if x m!>

0 and where sgn(x m!)=0 if x m!≦

0.

7. A system for generating a time scale modification of a signal comprising:

a zero crossing module for determining zero crossing points in the signal;

a feature vector module coupled to said zero crossing module for determining feature vectors in neighborhood of said zero crossing points based on absolute magnitude and slope of sample points before and after zero crossing point;

said feature vector having j dimensions;

a distance metric module coupled to said feature vector module for determining distance metrics based on accumulation of differences for each of the j dimensions, said distance metrics indicating closeness of local characteristics between two of said zero crossing points;

means for finding minimum measure of said accumulation of differences for each of the j dimensions; and

an alignment module coupled to said distance metric module for aligning said signal using said zero crossing points and said distance metrics based on said minimum measure of said accumulation of differences for each of the j dimensions to generate the time scale modification of the signal.

8. The system of claim 7 further including a cross fade module coupled to said alignment module for smoothing transitions between successive frames in the time scale modification of the signal.