Hamming Generalized Low Time Liftered Cepstral Analysis

S. Bedi, R. Singh


The main aim of this experiment is to separate the excitation of vocal tract components of the given speech signal by cepstral analysis. The first step is to convert the speech into short-term segments of size 15-20 ms. Then multiplication of each frame is carried out with the help of Hamming Window. The representation of short term speech in cepstral analysis is computed by finding the IDFT of log magnitude spectrum. In order to extract the deconvolved vocal tract and excitation component from the cepstrum liftering has to be done.

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J. Kuang, Y. Guo, and M. Liberman, “Voice quality as a pitch-range indicator,” Speech Prosody 2016, May 2016.

W. Jlassi, A. Bouzid, and N. Ellouze, “Pitch Estimation Based on the Cepstrum Analysis by the Multi Scale Product of Clean and Noisy Speech,” Smart Innovation, Systems and Technologies, pp. 219-225, 2016.

H. Konno, M. Kudo, H. Imai, and M. Sugimoto, “Whisper to normal speech conversion using pitch estimated from sspectrum,” Speech Communication, vol. 83, pp. 10-20, Oct. 2016.

P. Cabanas-Molero, D. Martinez-Munoz, P. Vera-Candeas, F. J. Canadas-Quesada, and N. Ruiz-Reyes, “Compositional model for speech denoising based on source/filter speech representation and smoothness/sparseness noise constraints,” Speech Communication, vol. 78, pp. 84-99, Apr. 2016.

P.T. Nghia, N.V. Tao, P.T.M. Huong, N.T.B. Diep, and P.T.T. Hien, “ A Measure of Smoothness in Synthesized Speech ,” REV Journal on Electronics and Communications, Apr. 2016.

K. Waghmare, S. Kayte, and B. Gawali, “Analysis of Pitch and Duration in Speech Synthesis using PSOLA, “ Communications on Applied Electronics, vol. 4, no. 4, pp. 10-18, Feb. 2016.

S. Sarkar, “Speaker Identification Using Vowels /i/ and /a/ at Normal Pitch and High Pitch,” Linguistics and Literature Studies, vol. 4, no. 1, pp. 8-16, Jan. 2016.

D. J. Hermes, “Synthesis of breathy vowels: Some research methods,” Speech Communication, vol. 10, no. 5-6, pp. 497-502, Dec. 1991.

Y. Stylianou, “On the harmonic analysis of speech,” ISCAS ’98. Proceedings of the 1998 IEEE International Symposium on Circuits and Systems (Cat. No. 98CH36187).

Y. Stylianou, “Modelling Speech Based on Harmonic Plus Noise Models,” Lecture Notes in Computer Science, pp. 244-260, 2005.

F. Charpentier and E. Moulines, “Text-to-speech algorithms based on FFT synthesis,” ICASSP-88, International Conference on Acoustics, Speech, and Signal Processing.

Y. Stylianou, “Applying the harmonic plus noise model in concatenative speech synthesis,” IEEE Transactions on Speech and Audio Processsing, vol. 9, no. 1, pp. 21-29, 2001.

J. W. Tukey and N. Wiener, “The Extrapolation, Interpolation and Smoothing of Stationary Time Series with Engineering Applications,” Journal of the American Statistical Association, vol.47, no. 258, p. 319, Jun. 1952.

B. Atal and M. Schroeder, “Improved quantizer for adaptive predictive coding of speech signals at low bit rates,” ICASSP ’80. IEEE International Conference on Acoustics, Speech, and Signal Processing.

H. J. M Steeneken and J. H. L. Hansen, “Speech under stress conditions: overview of the effect on speech production and on system performance,” 1999 IEEE International Conference on Acoustics, Speech, and Signal Processing, Proceedings.

A.W.K. Gaillard and C. J. E Wientjes, “ Mental load and work stress as two types of energy mobilization,” Work & Stress, vol. 8, no. 2, pp. 141-152, Apr. 1994.

J. R. Deller, J. H. L. Hansen, and J. G. Proakis, “Discrete-Time Processing of Speech Signals,” 1999.

R. Deller, J. H. L. Hansen, and J. G. Proakis, “Discrete-Time Processing of Speech Signals,” 1999.

G. E. Peterson and H. L. Barney, “Control Methods Used in a Study of the Vowels,” The Journal of the Acoustical Society of America, vol. 24, no. 2, pp. 175-184, Mar. 1952.

R. S. Hill, R. K. Potter, G. A. Kopp, and H. C. Green, “Visible Speech,” Notes, vol. 4, no. 4, p. 468, Sep. 1947.

DOI: https://doi.org/10.23956/ijarcsse/V7I6/0165


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