A dynamical system approach to approach to continuous recognition
HLT '91 Proceedings of the workshop on Speech and Natural Language
The acoustic-modeling problem in automatic speech recognition
The acoustic-modeling problem in automatic speech recognition
A comparative study of signal representations and classification techniques for speech recognition
ICASSP'93 Proceedings of the 1993 IEEE international conference on Acoustics, speech, and signal processing: speech processing - Volume II
New-word addition and adaptation in a stochastic explicit-segment speech recognition system
ICASSP'93 Proceedings of the 1993 IEEE international conference on Acoustics, speech, and signal processing: image and multidimensional signal processing - Volume V
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Benchmarking the performance for telephone-network-based speech recognition systems is hampered by two factors: lack of standardized databases for telephone network speech, and insufficient understanding of the impact of the telephone network on recognition systems. The N-TIMIT database was used in the experiments described in this paper in order to "calibrate" the effect of the telephone network on phonetic classification algorithms. Phonetic classification algorithms have been developed for wide-band and telephone quality speech, and were tested on subsets of the TIMIT and N-TIMIT databases. The classifier described in this paper provides accuracy of 75% on wide-band TIMIT data and 66.5% on telephone quality N-TIMIT data. Over-all the telephone network seems to increase the error rate by a factor of 1.3.