Decision tree-based acoustic models for speech recognition-Reference-Cited by-同舟云学术

Decision tree-based acoustic models for speech recognition

Published:2012-02-17 Issue:1 Volume:2012 Page:
ISSN:1687-4722
Container-title:EURASIP Journal on Audio, Speech, and Music Processing
language:en
Short-container-title:J AUDIO SPEECH MUSIC PROC.

Author:

Akamine Masami,Ajmera Jitendra

Publisher

Springer Science and Business Media LLC

Subject

Electrical and Electronic Engineering,Acoustics and Ultrasonics

Link

http://link.springer.com/article/10.1186/1687-4722-2012-10/fulltext.html

Reference13 articles.

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2. Foote JT: Decision-tree probability modeling for HMM speech recognition. In Ph.D. thesis. Brown University, Providence, USA; 1993.

3. Teunen R, Akamine M: HMM-based speech recognition using decision trees instead of GMMs. In Proceedings of Interspeech. Antwerp, Belgium; 2007:2097-2100.

4. Droppo J, Seltzer ML, Acero A, Chiu YB: Towards a non-parametric acoustic model: an acoustic decision tree for observation probability calculation. In Proceedings of Interspeech. Brisbane, Australia; 2008:289-292.

5. Ajmera J, Akamine M: Speech recognition using soft decision trees. In Proceedings of Interspeech. Brisbane, Australia; 2008:940-943.

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