Hearing is Believing: Biologically-Inspired Feature Extraction for Robust Automatic Speech Recognition
| Title | Hearing is Believing: Biologically-Inspired Feature Extraction for Robust Automatic Speech Recognition |
| Publication Type | Journal Article |
| Year of Publication | 2012 |
| Authors | Stern, R. M., & Morgan N. |
| Published in | Signal Processing Magazine |
| Volume | 29 |
| Issue | 6 |
| Page(s) | 34-43 |
| Other Numbers | 3327 |
| 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. |
| URL | http://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 |