Claims
- 1. A method of computing a distance measure between first and second mixture type probability distribution functions,
- 2. The method according to claim 1 wherein at least one of said first and second mixture probability distribution functions includes a Gaussian Mixture Model.
- 3. The method according to claim 1 wherein the element distance between the first and second probability distance functions includes Kullback Leibler Distance.
- 4. The method of claim 1 wherein the first and second probability distribution functions are Gaussian mixture models derived from audio segments.
- 5. A computer program embedded in a storage medium for computing a distance measure between first and second mixture type probability distribution functions,
- 6. The computer program according to claim 5 wherein at least one of said first and second mixture probability distribution functions includes a Gaussian Mixture Model.
- 7. The computer program according to claim 5 wherein the element distance between the first and second probability distance functions includes Kullback Leibler Distance.
- 8. The computer program of claim 5 wherein the first and second probability distribution functions are Gaussian mixture models derived from audio segments.
- 9. A computer system for computing a distance measure between first and second mixture type probability distribution functions,
- 10. The computer system according to claim 9 wherein at least one of said first and second mixture probability distribution functions includes a Gaussian Mixture Model.
- 11. The computer system according to claim 9 wherein the element distance between the first and second probability distance functions includes Kullback Leibler Distance.
- 12. The computer system of claim 9 wherein the first and second probability distribution functions are Gaussian mixture models derived from audio segments.
- 13. A method for computing a distance measure between first and second mixture type probability distribution functions G and H, wherein:
- 14. The method according to claim 13 wherein at least one of said first and second mixture probability distribution functions includes a Gaussian Mixture Model.
- 15. The method according to claim 13 wherein the element distance between the first and second probability distance functions includes Kullback Leibler Distance.
- 16. The method of claim 13 wherein the first and second probability distribution functions are Gaussian mixture models derived from audio segments.
CROSS-REFERENCE TO RELATED APPLICATIONS
[0001] This application claims priority to the provisional patent application Ser. No. 60/201,867, filed on May 4, 2000.
Provisional Applications (1)
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Number |
Date |
Country |
|
60201867 |
May 2000 |
US |