Improved Bayesian approach to robust speech segmentation

To enhance the robustness of speech segmentation, this paper presents the improved segmentation model based on Bayesian method which combined with a prior probability which is independent to noise feature as the compensation for the mismatch of acoustic model. We evaluated and compared the performance of different methods in speech segmentation experiment.

[1]  Torbjørn Svendsen,et al.  On the automatic segmentation of speech signals , 1987, ICASSP '87. IEEE International Conference on Acoustics, Speech, and Signal Processing.

[2]  Gökhan Tür,et al.  Prosody-based automatic segmentation of speech into sentences and topics , 2000, Speech Commun..

[3]  Maurizio Omologo,et al.  Automatic segmentation and labeling of speech based on Hidden Markov Models , 1993, Speech Commun..

[4]  John H. L. Hansen,et al.  Automatic segmentation of speech recorded in unknown noisy channel characteristics , 1998, Speech Communication.

[5]  Jan P. van Hemert,et al.  Automatic segmentation of speech , 1991, IEEE Trans. Signal Process..