Temporal patterns (TRAPS) in ASR of noisy speech (1999)
| Venue: | in Proc. ICASSP |
| Citations: | 29 - 3 self |
BibTeX
@INPROCEEDINGS{Hermansky99temporalpatterns,
author = {Hynek Hermansky and Sangita Sharma},
title = {Temporal patterns (TRAPS) in ASR of noisy speech},
booktitle = {in Proc. ICASSP},
year = {1999},
pages = {289--292}
}
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Abstract
International Computer Science Institute, In this paper we study a new approach to processing temporal information for automatic speech recognition (ASR). Speci cally, we study the use of rather longtime TempoRAl Patterns (TRAPs) of spectral energies in place of the conventional spectral patterns for ASR. The proposed Neural TRAPs are found to yield significant amount of complementary information to that of the conventional spectral feature based ASR system. A combination of these two ASR systems is shown to result in improved robustness to several types of additive and convolutive environmental degradations. 1.1. Spectral features 1.
Citations
| 443 | Perceptual linear predictive (PLP) analysis of speech - Hermansky - 1990 |
| 368 | Connectionist Speech Recognition: A Hybrid Approach - Bourlard, Morgan - 1993 |
| 106 | A new ASR approach based on independent processing and recombination of partial frequency bands - Bourlard, Dupont - 1996 |
| 97 | How do humans process and recognize speech - Allen - 1994 |
| 49 | Sub-band based recognition of noisy speech - Tibrewala, Hermansky - 1997 |
| 34 | Telephone Speech Corpus Development at CSLU - Cole, Fanty, et al. - 1994 |
| 33 | TRAPS - Classifiers of Temporal Patterns - Hermansky, Sharma - 1998 |
| 20 | Data-driven design of RASTAlike filters - Vuuren, Hermansky - 1997 |
| 10 | Should recognizers have ears? Speech Communication 25 - Hermansky - 1998 |
| 7 | Combining Information from Multiple Classifiers for Speaker Verification - Sharma, Hermansky, et al. - 1998 |
| 2 | telephone speech corpora at CSLU - New - 1995 |
