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Speech Processing Dr. Veton Këpuska, FIT Jacob Zurasky, FIT.

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Presentation on theme: "Speech Processing Dr. Veton Këpuska, FIT Jacob Zurasky, FIT."— Presentation transcript:

1 Speech Processing Dr. Veton Këpuska, FIT Jacob Zurasky, FIT

2 Front-End Speech Processing Motivation Speech audio processing has increased in its usefulness especially after SIRI. To understand how the features are computed in such applications is very important. Hence we propose to implement feature extraction stage of speech processing application. Applications  Speech Processing  Speech Coding  Speech Recognition  Speaker Recognition 6/10/2012 Dr. Veton Këpuska2

3 Typical MFCC Based System Front-End Processing of a Speech Recognizer 6/10/2012 Dr. Veton Këpuska3 Pre- emphasis Window FFT Mel-Scale log IFFT Speech Features

4 6/10/2012Dr. Veton Këpuska4 Pre-emphasis Windowing FFT log IFFT Mel-Filter

5 Pre-emphasis Filter 6/10/2012 Dr. Veton Këpuska5 Input Signal x Output Signal y Pre-emphasis Filter

6 6/10/2012Dr. Veton Këpuska6 Windowing Pre-emphasis Windowing FFT log IFFT Mel-Filter

7 Windowing 6/10/2012 Dr. Veton Këpuska7

8 6/10/2012Dr. Veton Këpuska8 Short-Time Analysis

9 6/10/2012Dr. Veton Këpuska9 Short Time FFT Pre-emphasis Windowing FFT log IFFT Mel-Filter

10 An FFT Spectrogram 6/10/2012 Dr. Veton Këpuska10 Some have walked through pain and sorrow to bring you their message of hope

11 6/10/2012Dr. Veton Këpuska11 Mel-Frequency Filter Pre-emphasis Windowing FFT log IFFT Mel-Filter

12 Mel-Frequency Scale 6/10/2012 Dr. Veton Këpuska12

13 Mel-Frequency Scale 6/10/2012 Dr. Veton Këpuska13

14 6/10/2012Dr. Veton Këpuska14 Log and IFFT Pre-emphasis Windowing FFT log IFFT Mel-Filter

15 Proposed Work; Related Knowledge Signal Processing: –Windowing –Filtering Math knowledge –Fourier Transform –Mel-Filtering –Cepstrum Programming: –Matlab Fundamentals –Signal Processing Toolbox Functionality Algorithms –Fast Fourier Transform –Cepstral Analysis 6/10/2012 15Dr. Veton Këpuska

16 Proposed Work Timeline 6/10/2012 16  Week 1:  How to Use MATLAB  Week 2:  Fundamentals of Signal Processing  Introduction of Filtering, Averaging  Week 3:  Windowing  Fast Fournier Transform  Cepstral Transform  Week 4:  Implementation of MFCC Processing  Week 5:  Implementation of MFCC Processing  Week 6:  Work on deliverables Dr. Veton Këpuska

17 END Thank You! Questions?


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