Publication Details

Title: Hearing is Believing: Biologically-Inspired Feature Extraction for Robust Automatic Speech Recognition
Author: R. M. Stern and N. Morgan
Bibliographic Information: Signal Processing Magazine, Vol. 29, No. 6, pp. 34-43
Date: November 2012
Research Area: Speech
Type: Article in journal or magazine
PDF: http://www.icsi.berkeley.edu/pubs/speech/ICSI_hearingis12.pdf

Acknowledgements:
Preparation of this manuscript was supported by NSF (Grants IIS-0420866 and IIS-0916918) at CMU, and Cisco, Microsoft, and Intel Corporations and internal funds at ICSI. The authors are grateful 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 for many helpful discussions. The reader is referred to Virtanen et al. (2012) for a much more detailed discussion of these topics by the present authors.

Bibliographic Reference:
R. M. Stern and N. Morgan. Hearing is Believing: Biologically-Inspired Feature Extraction for Robust Automatic Speech Recognition. Signal Processing Magazine, Vol. 29, No. 6, pp. 34-43, November 2012