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Isolated word, speaker independent speech recognition

Isolated word, speaker independent speech recognition. Kaustubh R. Kale Guide: Dr. John G. Harris. Project Goals. To make appliances smart Use Dynamic Time Warping algorithm 13 Mel frequency Cepstral coefficients as the extracted features Gui development and hardware interface.

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Isolated word, speaker independent speech recognition

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  1. Isolated word, speaker independent speech recognition Kaustubh R. Kale Guide: Dr. John G. Harris EEL 6825 project

  2. Project Goals • To make appliances smart • Use Dynamic Time Warping algorithm • 13 Mel frequency Cepstral coefficients as the extracted features • Gui development and hardware interface EEL 6825 project

  3. Description • Schematic Diagram • Endpoint detection in Java • DTW analysis in Matlab • Parallel Port operations via C++ • Demo FOR MORE INFO... http://www.dcs.shef.ac.uk/~stu/com326/ EEL 6825 project

  4. Schematic Diagram Java Matlab C++ Appliance EEL 6825 project

  5. Endpoint detection in Java. • Utterances are of unequal lengths • Preceded by silence • Use of signal power p[i..j] = k=i..js[k]2 EEL 6825 project

  6. DTW analysis in Matlab • Two basic concepts to be understood: 1. Feature extraction from the time dependant signal 2. Distance calculation: a.Local distance between features b.Global distance between signals EEL 6825 project

  7. DTW Flow • To obtain a global distance, time alignment must be done D(I,j)=min[D(I-1,j-1),D(I-1,j),D(I,j-1)] +d(I,j) EEL 6825 project

  8. C++ interface with the port • The matlab passes on the a parameter to the C++ program • The C++ program drives the respective pins on the parallel port The Parameters: 1 = lights and fan off 2 = lights on and fan off 3 = fan on and lights off 4 = lights on and fan on EEL 6825 project

  9. Classification Errors • For speaker dependent operation the classification errors were 20% • For speaker independent operation the classification errors were 30%-40% EEL 6825 project

  10. Demonstration End to end operation EEL 6825 project

  11. Future work • Making the DTW more robust to ambient noise • Achieving speaker independent word recognition • Efficient inter component communication EEL 6825 project

  12. Conclusion • Via this program the goal of having voice operated smart appliance was achieved • The error rate was around 20% EEL 6825 project

  13. Thanks! Question time… EEL 6825 project

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