System and method of using neural transforms of robust audio features for speech processing
View Patent ↗A system and method for processing speech includes receiving a first information stream associated with speech, the first information stream comprising micro-modulation features and receiving a second information stream associated with the speech, the second information stream comprising features. The method includes combining, via a non-linear multilayer perceptron, the first information stream and the second information stream to yield a third information stream. The system performs automatic speech recognition on the third information stream. The third information stream can also be used for training HMMs.
1. A method comprising:
receiving, via a communication network, a first information stream associated with a formant frequency of speech, wherein the first information stream comprises micro-modulation features modeled in a first time scale;
receiving, via the communication network, a second information stream associated with the speech;
performing, via at least one hardware processor, automatic speech recognition on a third information stream formed by combining, via a non-linear multilayer perceptron, the first information stream and the second information stream, to yield a recognition result; and
outputting, via the communication network, the recognition result comprising text representing the speech, the text being viewed on a display.
2. The method of claim 1 , wherein the second information stream comprises cepstral features modeled in a second time scale.
3. The method of claim 2 , wherein the first time scale is distinct from the second time scale.
4. The method of claim 1 , further comprising filtering out noise from the third information stream prior to performing automatic speech recognition.
5. The method of claim 1 , wherein the third information stream comprises less features than raw features in the first information stream and the second information stream.
6. The method of claim 1 , further comprising training a Hidden Markov model using the third information stream.
7. A system comprising:
a processor; and
a non-transitory computer-readable storage medium storing instructions which, when executed by the processor, cause the processor to perform operations comprising:
receiving, via a communication network, a first information stream associated with a formant frequency of speech, wherein the first information stream comprises micro-modulation features modeled in a first time scale;
receiving, via the communication network, a second information stream associated with the speech;
performing, via at least one hardware processor, automatic speech recognition on a third information stream formed by combining, via a non-linear multilayer perceptron, the first information stream and the second information stream to yield a recognition result; and
outputting, via the communication network, the recognition result comprising text representing the speech, the text being viewed on a display.
8. The system of claim 7 , wherein the second information stream comprises cepstral features modeled in a second time scale.
9. The system of claim 8 , wherein the first time scale is distinct from the second time scale.
10. The system of claim 7 , wherein the non-transitory computer-readable storage medium stores further instructions which, when executed by the processor, cause the processor to perform further operations comprising filtering out noise from the third information stream prior to performing automatic speech recognition.
11. The system of claim 7 , wherein the third information stream comprises less features than raw features in the first information stream and the second information stream.
12. The system of claim 7 , wherein the non-transitory computer-readable storage medium stores further instructions which, when executed by the processor, cause the processor to perform further operations comprising training a Hidden Markov model using the third information stream.
13. A non-transitory computer-readable storage device storing instructions, which, when executed by a processor, cause the processor to perform operations comprising:
receiving, via a communication network, a first information stream associated with a formant frequency of speech, wherein the first information stream comprises micro-modulation features modeled in a first time scale;
receiving, via the communication network, a second information stream associated with the speech;
performing, via at least one hardware processor, automatic speech recognition on a third information stream formed by combining, via a non-linear multilayer perceptron, the first information stream and the second information stream to yield a recognition result; and
outputting, via the communication network, the recognition result comprising text representing the speech, the text being viewed on a display.
14. The non-transitory computer-readable storage device of claim 13 , wherein the second information stream comprises cepstral features modeled in a second time scale.
15. The non-transitory computer-readable storage device of claim 14 , wherein the first time scale is distinct from the second time scale.
16. The non-transitory computer-readable storage device of claim 14 , wherein the third information stream comprises less features than raw features in the first information stream and the second information stream.
17. The non-transitory computer-readable storage device of claim 14 , wherein the computer-readable storage device stores further instructions which, when executed by the processor, cause the processor to perform further operations comprising training a Hidden Markov model using the third information stream.