Abstract
Speaker Identification (SI) and speech recognition systems display a strong sensitivity to ambient noise conditions [l]. It is known that the performance of these systems is maximized when tmined under conditions that approziinale the testing environment. However, these systems generally do not perform well when there is no noise or when the level or characteristics of the noise changes. A new speech enhancement technique is presented that, when used with a standard cepstrnm-based SI system, significantly reduces the sensitivity of the SI system to mismatches in the noise euvironnient between training and testing.
Original language | English (US) |
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Article number | 389363 |
Pages (from-to) | I29-I32 |
Journal | ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings |
Volume | 1 |
DOIs | |
State | Published - 1994 |
Event | Proceedings of the 1994 IEEE International Conference on Acoustics, Speech and Signal Processing. Part 2 (of 6) - Adelaide, Aust Duration: Apr 19 1994 → Apr 22 1994 |
All Science Journal Classification (ASJC) codes
- Software
- Signal Processing
- Electrical and Electronic Engineering