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# Matlab: Speech Signal Analysis

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Using matlab for Speech Signal Analysis

Using matlab for Speech Signal Analysis

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### Transcript

• 1. Matlab:Speech Signal Analysis
• 2. Speech Signal Analysis
Speech signal processing refers to the manipulation, acquisition, storage, transfer and output of vocal output by a computing machine.
• 3. Fundamental Frequency estimation – frequency domain
The following a sample code for fundamental frequency estimation:
• 4. Fundamental Frequency estimation - frequency domain
• 5. Fundamental Frequency estimation - frequency domain
To search for the index of the peak in the cepstrum between 1 and 20ms, and then convert back to hertz, use:
[c,fx]=max(abs(C(ms1:ms20)));
fprintf(&apos;Fx=%gHz &apos;,fs/(ms1+fx-1));
• 6. Fundamental Frequency estimation - time domain
This code plots the autocorrelation function for a section of speech signal:
• 7. Fundamental Frequency estimation - time domain
• ms2=fs/500                 % maximum speech Fx at 500Hz
• 8. ms20=fs/50                 % minimum speech Fx at 50Hz
• 9. r=r(ms20+1:2*ms20+1)
• 10. [rmax,tx]=max(r(ms2:ms20))
• 11. fprintf('rmax=%g Fx=%gHz ',rmax,fs/(ms2+tx-1));
• Fundamental Frequency estimation - time domain
• 12. Foramant Frequency Estimation
Formant frequency estimation is demonstrated by using LPC to find the best IIR filter from a section of speech signal and then plotting the filter&apos;s frequency response.
• 13. Foramant Frequency Estimation
Formant frequency estimation is demonstrated by using LPC to find the best IIR filter from a section of speech signal and then plotting the filter&apos;s frequency response.
• 14. Foramant Frequency Estimation
r=roots(a);
r=r(imag(r)&gt;0.01);
ffreq=sort(atan2(imag(r),real(r))*fs/(2*pi)); for i=1:length(ffreq)
fprintf(&apos;Formant %d Frequency %.1f &apos;,i,ffreq(i));
end
• 15. Speech Signal Analysis
References:
http://www.phon.ucl.ac.uk/courses/spsci/matlab
• 16. Visit more self help tutorials
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