Geoffrey Zweig, Patrick Nguyen, Dirk Van Compernolle, Kris Demuynck, Les Atlas, Pascal Clark, Greg Sell, Meihong Wang, Fei Sha, Hynek Hermansky, Damianos Karakos, Aren Jansen, Samuel Thomas, G.S.V.S. Sivaram, Samuel Bowman, and Justine Kao
2011
This paper summarizes the 2010 CLSP Summer Workshop on
speech recognition at Johns Hopkins University. The key theme of
the workshop was to improve on state-of-the-art speech recognition
systems by using Segmental Conditional Random Fields (SCRFs) to
integrate multiple types of information. This approach uses a stateof-
the-art baseline as a springboard from which to add a suite of
novel features including ones derived from acoustic templates, deep
neural net phoneme detections, duration models, modulation features,
and whole word point-process models. The SCRF framework
is able to appropriately weight these different information sources
to produce significant gains on both the Broadcast News and Wall
Street Journal tasks.
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In ICASSP 2011
Publisher IEEE
| Type | Inproceedings |