A Study on Restoration of Bone-Conducted Speech in Noisy Environments with LP-based Model and Gaussian Mixture Model
Tác giả
Tóm tắt
Tài liệu tham khảo
[1] [1] S. Kitamori and M. Takizawa: An analysis of bone conducted speech signal by articulation tests, IEICE Trans. Vol. J72-A No. 11, pp. 1764-1771, 1989.
[2] [2] S. Ishimitsu, H. Kitakaza, Y. Tshuchibushi, H. Yanagawa and M. Fukushima: A noise-robust speech recognition system making use of body-conducted signals, Acoust. Sci & Tech., Vol 25, pp. 166-169, 2004.
[3] [3] T. Tamiya and T. Shimamura: Reconstruct filter design for bone-conducted speech, Proc. ICSLP 2004, Vol. II, pp. 1085-1088, 2004.
[4] [4] T.T. Vu, K. Kimura, M. Unoki and M. Akagi: A study on restoration of bone-conducted speech with MTF-based and LP-based models, J. Signal Processing, Vol. 10, No. 6, pp. 407-417, 2006.
[5] [5] M. Nakagiri, T. Toda, H. Kashioka and K. Shikano: Improving body transmitted unvoiced speech with statistical voice conversion, Proc. ICSLP-2006, pp. 2270-2273, 2006.
[6] [6] T. T. Vu, G. Seide, M. Unoki and M. Akagi: Method of LP-based blind restoration for improving intelligibility of bone-conducted speech, Proc. Interspeech 2007, pp. 966-969, 2007.
[7] [7] A. Kain and M. W. Macon: Spectral voice conversion for text-to-speech synthesis, Proc. ICASSP-1998, Vol. 1, pp. 285-288, 1998.
[8] [8] M. Ida and S. Nakamura: HMM composition-based rapid model adaptation using a priori noise GMM adaptation evaluation on Aurora2 corpus, Proc. ICSLP-2002, pp. 437-440, 2002.
[9] [9] Y. Hu and P. Loizou: Subjective evaluation and comparison of speech enhancement algorithms, Speech Communication, Vol. 49., pp. 588-601, 2007.
[10] [10] Database for speech intelligibility testing using Japanese word lists, NTT-AT, March 2003.