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Estimation of Voicing-Character of Speech Spectra Based on Spectral Shap

Estimation of Voicing-Character of Speech Spectra Based on Spectral Shap. P. Jancovic and M. Kokuer IEEE Signal Processing Letters, Vol. 14, No. 1, pp. 66-69, Jan. 2007. Presenter Chia -Cheng Chen. Outline. Introduction Voicing-Character Estimation of Speech Spectra

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Estimation of Voicing-Character of Speech Spectra Based on Spectral Shap

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  1. Estimation of Voicing-Character of Speech Spectra Based on Spectral Shap P. Jancovic and M. Kokuer IEEE Signal Processing Letters, Vol. 14, No. 1, pp. 66-69, Jan. 2007 • Presenter Chia-ChengChen

  2. Outline Introduction Voicing-Character Estimation of Speech Spectra Experimental Results Conclusions

  3. Introduction • Between the shape of the signal short-term magnitude spectra and spectra of the frame-analysis window.

  4. Voicing-Character Estimation of Speech Spectra The short-term Fourier spectrum of a voiced speech segment can be represented as a summation of scaled and shifted.

  5. Voicing-Character Estimation of Speech Spectra(Cont.) • Fourier transform of a frame-window function: • :fundamental frequency Ah ：complex amplitude,

  6. Voicing-Character Estimation of Speech Spectra(Cont.) Voicing-distance: Voicing-Distance Calculation for Filter-Bank Channels:

  7. Experimental Results Hamming window with various values of M

  8. Experimental Results(Cont.) comparison with rectangular and Blackman–Harris windows (for best M)

  9. Experimental Results(Cont.)

  10. Experimental Results(Cont.)

  11. Conclusions Based on calculating a distance between the shape of the signal short-term spectra and spectra of the frame-analysis window.

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