VOICED-UNVOICED CLASSIFICATION OF SPEECH USING AUTOCORRELATION MATRIX

5. KAYNAKÇA [1] Fisher, E., Tabrikian, J., Dubnov, S., "Generalized likelihoodratio test for voiced-unvoiced decision in noisy speech using the harmonic model," IEEE Transactions on Audio, Speech, and Language Processing, vol.14, no.2, pp. 502- 510, March 2006. [2] E. Fisher, J. Tabrikian and S. Dubnov, “Generalized Likelihood Ratio Test for Voiced-Unvoiced Decision in Noisy Speech Using the Harmonic Model,” IEEE Transactions on Audio, Speech, and Language Processing, Vol. 14, No. 2, 2006, pp. 502-510. doi:10.1109/TSA.2005.857806 [3] S. Ahmadi. and A. S. Spanias, “Cepstrum-based pitch detection using a new statistical V/UV classification algorithm,” IEEE Trans. Speech Audio Pro., vol. 7 No. 3, pp. 333-338, 1999 [4] Nemer, E., Goubran, R., Mahmoud, S., “Robust voice activity detection using higher-order statistics in the LPC residual domain,” IEEE Trans. Speech Audio Process., vol. 9, no. 3, pp. 217 231, Mar. 2001. [5] B. Atal and M. Schroeder, “Predictive Coding of Speech Signals and Subjective Error Criteria,” IEEE Transactions on Acoustics, Speech and Signal Processing, Vol. 27, No. 3, 2003, pp. 247-254. doi:10.1109/TASSP.1979.1163237 [6] S. Imai, “Cepstral Analysis Synthesis on the Mel Frequency Scale,” IEEE International Conference on Acoustics, Speech, and Signal Processing, Vol. 8, 2003, pp. 93-96. [7] B. Atal and L. Rabiner, “A Pattern Recognition Approach to Voicedunvoiced-Silence Classification with Applications to Speech Recognition,” IEEE Transactions on Acoustics, Speech and Signal Processing, Vol. 24, No. 3, 2003, pp. 201-212. doi:10.1109/TASSP.1976.1162800 [8] R. J. McAulay and T. F. Quatieri, “Pitch Estimation and Voicing Detection Based on a Sinusoidal Speech Model,” International Conference on Acoustics, Speech, and Signal Processing, Vol. 1, 1990, pp. 249-252. doi:10.1109/ICASSP.1990.115585 [9] L. Rabiner, “On the Use of Autocorrelation Analysis for Pitch Detection,” IEEE Transactions on Acoustics, Speech and Signal Processing, Vol. 25, No. 1, 2003

VOICED-UNVOICED CLASSIFICATION OF SPEECH USING AUTOCORRELATION MATRIX

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5. KAYNAKÇA

[1] Fisher, E., Tabrikian, J., Dubnov, S., "Generalized likelihoodratio test for voiced-unvoiced decision in noisy speech using the harmonic model," IEEE Transactions on Audio, Speech, and Language Processing, vol.14, no.2, pp. 502- 510, March 2006.

[2] E. Fisher, J. Tabrikian and S. Dubnov, “Generalized Likelihood Ratio Test for Voiced-Unvoiced Decision in Noisy Speech Using the Harmonic Model,” IEEE Transactions on Audio, Speech, and Language Processing, Vol. 14, No. 2, 2006, pp. 502-510. doi:10.1109/TSA.2005.857806

[3] S. Ahmadi. and A. S. Spanias, “Cepstrum-based pitch detection using a new statistical V/UV classification algorithm,” IEEE Trans. Speech Audio Pro., vol. 7 No. 3, pp. 333-338, 1999

[4] Nemer, E., Goubran, R., Mahmoud, S., “Robust voice activity detection using higher-order statistics in the LPC residual domain,” IEEE Trans. Speech Audio Process., vol. 9, no. 3, pp. 217 231, Mar. 2001.

[5] B. Atal and M. Schroeder, “Predictive Coding of Speech Signals and Subjective Error Criteria,” IEEE Transactions on Acoustics, Speech and Signal Processing, Vol. 27, No. 3, 2003, pp. 247-254. doi:10.1109/TASSP.1979.1163237

[6] S. Imai, “Cepstral Analysis Synthesis on the Mel Frequency Scale,” IEEE International Conference on Acoustics, Speech, and Signal Processing, Vol. 8, 2003, pp. 93-96.

[7] B. Atal and L. Rabiner, “A Pattern Recognition Approach to Voicedunvoiced-Silence Classification with Applications to Speech Recognition,” IEEE Transactions on Acoustics, Speech and Signal Processing, Vol. 24, No. 3, 2003, pp. 201-212. doi:10.1109/TASSP.1976.1162800

[8] R. J. McAulay and T. F. Quatieri, “Pitch Estimation and Voicing Detection Based on a Sinusoidal Speech Model,” International Conference on Acoustics, Speech, and Signal Processing, Vol. 1, 1990, pp. 249-252. doi:10.1109/ICASSP.1990.115585

[9] L. Rabiner, “On the Use of Autocorrelation Analysis for Pitch Detection,” IEEE Transactions on Acoustics, Speech and Signal Processing, Vol. 25, No. 1, 2003. pp. 24-33. doi:10.1109/TASSP.1977.1162905

[10] Y. Qi and B. R. Hunt, “Voiced-Unvoiced-Silence Classifications of Speech Using Hybrid Features and a Network Classifier,” IEEE Transactions on Speech and Audio Processing, Vol. 1, No. 2, 2002, pp. 250-255. doi:10.1109/89.222883

[11] Li Hui, Bei-qian Dai, Lu Wei, "A Pitch Detection Algorithm Based on AMDF and ACF", IEEE International Conference ICASSP 2006 , vol. 1, p. I-I, 2006

[12] J. A. Marks, “Real time speech classification and pitch detection,” Communications and Signal Processing, pp. 1-6, June , 1988.