A posterior probability-based system hybridisation and combination for spoken term detection

Proceedings of the 10th Annual Conference of the International Speech Communication Association, Brighton

[1]  Daniel Povey,et al.  Minimum Phone Error and I-smoothing for improved discriminative training , 2002, 2002 IEEE International Conference on Acoustics, Speech, and Signal Processing.

[2]  Dong Wang,et al.  A comparison of phone and grapheme-based spoken term detection , 2008, 2008 IEEE International Conference on Acoustics, Speech and Signal Processing.

[3]  Ralf Schlüter,et al.  Using word probabilities as confidence measures , 1998, Proceedings of the 1998 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP '98 (Cat. No.98CH36181).

[4]  José B. Mariño,et al.  Albayzin speech database: design of the phonetic corpus , 1993, EUROSPEECH.

[5]  Dong Wang,et al.  Posterior-based confidence measures for spoken term detection , 2009, 2009 IEEE International Conference on Acoustics, Speech and Signal Processing.

[6]  Daniel P. W. Ellis,et al.  Tandem connectionist feature extraction for conventional HMM systems , 2000, 2000 IEEE International Conference on Acoustics, Speech, and Signal Processing. Proceedings (Cat. No.00CH37100).

[7]  Dong Wang,et al.  A comparison of grapheme and phoneme-based units for Spanish spoken term detection , 2008, Speech Commun..

[8]  Jonathan G. Fiscus,et al.  A post-processing system to yield reduced word error rates: Recognizer Output Voting Error Reduction (ROVER) , 1997, 1997 IEEE Workshop on Automatic Speech Recognition and Understanding Proceedings.

[9]  Lukás Burget,et al.  Comparison of keyword spotting approaches for informal continuous speech , 2005, INTERSPEECH.