US 6,983,242 B1 | ||
Method for robust classification in speech coding | ||
Jes Thyssen, Laguna Niguel, Calif. (US) | ||
Assigned to Mindspeed Technologies, Inc., Newport Beach, Calif. (US) | ||
Filed on Aug. 21, 2000, as Appl. No. 9/643,017. | ||
Int. Cl. G10L 11/00 (2006.01); G10L 21/02 (2006.01) |
U.S. Cl. 704—208 | 8 Claims |
1. A method for classifying a speech signal having a background noise portion with a background noise level, the method comprising
the steps of:
extracting a parameter from the speech signal;
estimating a noise component of the parameter;
removing the noise component from the parameter to generate a noise-free parameter;
selecting a pre-determined threshold, wherein the step of selecting said pre-determined threshold is unaffected by said background
noise level;
comparing the noise-free parameter with a said pre-determined threshold; and
associating the speech signal with a class in response to the comparing step;
wherein the extracting step extracts a plurality of parameters and the steps of estimating, removing selecting, comparing
and associating are performed for each of the plurality of parameters, wherein the plurality of parameters include a spectral
tilt parameter, a pitch correlation parameter and an absolute maximum parameter, and wherein said spectral tilt parameter
is weighted to generate a noise-free spectral tilt parameter during the step of removing, said pitch correlation parameter
is weighted to generate a noise-free pitch correlation parameter during the step of removing and said absolute maximum parameter
is weighted to generate a noise-free absolute maximum parameter during the step of removing.
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