When a Mismatch Can Be Good: Large Vocabulary Speech Recognition Trained with Idealized Tandem Features

TitleWhen a Mismatch Can Be Good: Large Vocabulary Speech Recognition Trained with Idealized Tandem Features
Publication TypeConference Paper
Year of Publication2008
AuthorsFaria, A., & Morgan N.
Page(s)1574-1577
Other Numbers2249
Acknowledgment

This work was partially supported by funding provided to ICSI by the U.S. Defense Advanced Research Projects Agency (DARPA). Any opinions, findings, and conclusions or recommendations expressed in this material are those of the authors or originators and do not necessarily reflect the views of DARPA or of the U.S. Government.

URLhttp://www.icsi.berkeley.edu/pubs/speech/faria2008wmc.pdf
Bibliographic Notes

Proceedings of the ACM Symposium on Applied Computing, Fortaleza, Brazil, pp. 1574-1577

Abbreviated Authors

A. Faria and N. Morgan

ICSI Research Group

Speech

ICSI Publication Type

Article in conference proceedings