Hearing is Believing: Biologically-Inspired Feature Extraction for Robust Automatic Speech Recognition

TitleHearing is Believing: Biologically-Inspired Feature Extraction for Robust Automatic Speech Recognition
Publication TypeJournal Article
Year of Publication2012
AuthorsStern, R. M., & Morgan N.
Published inSignal Processing Magazine
Volume29
Issue6
Page(s)34-43
Other Numbers3327
Acknowledgment

Preparation of this manuscript was supported by NSF (Grants IIS-0420866 and IIS-0916918) atCMU, and Cisco, Microsoft, and Intel Corporations and internal funds at ICSI. The authors aregrateful to Yu-Hsiang (Bosco) Chiu, Mark Harvilla, Chanwoo Kim, Kshitiz Kumar, Bhiksha Raj,and Rita Singh at CMU, as well as Suman Ravuri, Bernd Meyer, and Sherry Zhao at ICSI formany helpful discussions. The reader is referred to Virtanen et al. (2012) for a much more detaileddiscussion of these topics by the present authors.

URLhttp://www.icsi.berkeley.edu/pubs/speech/ICSI_hearingis12.pdf
Bibliographic Notes

Signal Processing Magazine, Vol. 29, No. 6, pp. 34-43

Abbreviated Authors

R. M. Stern and N. Morgan

ICSI Research Group

Speech

ICSI Publication Type

Article in journal or magazine