@inproceedings{8a925f371de147cf90a4ecc1974efe51,
title = "Speech recognitionwith segmental conditional random fields: A summary of the JHU CLSP 2010 Summer Workshop",
abstract = "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 state-of-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.",
keywords = "CRF, Segmental Conditional Random Field, Speech Recognition",
author = "G. Zweig and P. Nguyen and {Van Compernolle}, D. and K. Demuynck and L. Atlas and P. Clark and G. Sell and M. Wang and F. Sha and H. Hermansky and D. Karakos and A. Jansen and S. Thomas and S, {G. S.V.S.} and S. Bowman and J. Kao",
year = "2011",
doi = "10.1109/ICASSP.2011.5947490",
language = "English (US)",
isbn = "9781457705397",
series = "ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings",
pages = "5044--5047",
booktitle = "2011 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2011 - Proceedings",
note = "36th IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2011 ; Conference date: 22-05-2011 Through 27-05-2011",
}