A mew ASR approach based on independent processing and recombination of partial frequency bands

作者: H. Bourlard , S. Dupont

DOI: 10.1109/ICSLP.1996.607145

关键词: Voice activity detectionFrequency bandArtificial neural networkPattern recognitionArtificial intelligenceTime delay neural networkHidden Markov modelSpeaker recognitionAcoustic modelSpeech recognitionRobustness (computer science)Computer science

摘要: In the framework of hidden Markov models (HMM) or hybrid HMM/artificial neural network (ANN) systems, we present a new approach towards automatic speech recognition (ASR). The …

参考文章(6)
Herve Bourlard, Hynek Hermansky, Nelson Morgan, Stephane Dupont, Towards subband-based speech recognition european signal processing conference. pp. 1- 4 ,(1996) , 10.5281/ZENODO.36302
Louis D. Braida, Paul Duchnowski, A new structure for automatic speech recognition Ph.D. Thesis. ,(1993)
A.P. Varga, R.K. Moore, Hidden Markov model decomposition of speech and noise international conference on acoustics, speech, and signal processing. pp. 845- 848 ,(1990) , 10.1109/ICASSP.1990.115970
H. Hennansky, S. Tibrewala, M. Pavel, Towards ASR on partially corrupted speech international conference on spoken language processing. ,vol. 1, pp. 462- 465 ,(1996) , 10.1109/ICSLP.1996.607154
J.B. Allen, How do humans process and recognize speech IEEE Transactions on Speech and Audio Processing. ,vol. 2, pp. 567- 577 ,(1994) , 10.1109/89.326615
H. Hermansky, N. Morgan, RASTA processing of speech IEEE Transactions on Speech and Audio Processing. ,vol. 2, pp. 578- 589 ,(1994) , 10.1109/89.326616