论文信息 - A new method for speech recognition in the presence of non-stationary, unpredictable and high-level noise

A new method for speech recognition in the presence of non-stationary, unpredictable and high-level noise

In this paper, we propose a new method for speech recognition in the presence of non-stationary, unpredictable and high-level noise by extending PreFEst [3]. The method does not need to know noise characteristics in advance and does not even estimate them in its process. A small set of evaluations demonstrates the feasibility of the method by showing a good performance even with a signal-to-noise ratio of less than 10 dB.

Ikuyo Masuda-Katsuse

[1] Masataka Goto,et al. A robust predominant-F0 estimation method for real-time detection of melody and bass lines in CD recordings , 2000, 2000 IEEE International Conference on Acoustics, Speech, and Signal Processing. Proceedings (Cat. No.00CH37100).

[2] Roy D. Patterson,et al. Fixed point analysis of frequency to instantaneous frequency mapping for accurate estimation of F0 and periodicity , 1999, EUROSPEECH.

[3] Hideki Kawahara,et al. Restructuring speech representations using a pitch-adaptive time-frequency smoothing and an instantaneous-frequency-based F0 extraction: Possible role of a repetitive structure in sounds , 1999, Speech Commun..

[4] S. Chiba,et al. Dynamic programming algorithm optimization for spoken word recognition , 1978 .

[5] Mark J. F. Gales,et al. Robust continuous speech recognition using parallel model combination , 1996, IEEE Trans. Speech Audio Process..