LARGE VOCABULARY SPEECH RECOGNITION WITH CONTEXT DEPENDENT MMI-CONNECTIONIST/HMM SYSTEMS USING THE WSJ DATABASE

5th European Conference on Speech Communication and Technology, EUROSPEECH 1997

Volumn , Issue , 1997, Pages 79-82

  Rottland, J ^a   Neukirchen, Ch ^a   Willett, D ^a   Rigoll, G ^a  

^a UNIVERSITY OF DUISBURG ESSEN   (Germany)

Author keywords

[No Author keywords available]

Indexed keywords

ERRORS; K-MEANS CLUSTERING; MARKOV PROCESSES; SPEECH COMMUNICATION; SPEECH RECOGNITION;

CONTEXT DEPENDENT; ERROR RATE; FAST DECODING; HIDDEN-MARKOV MODELS; LARGE VOCABULARY SPEECH RECOGNITION; MODELLING SYSTEMS; NEURAL-NETWORKS; SPEECH RECOGNITION SYSTEMS; VECTOR QUANTIZERS; WALL STREET JOURNAL;

HYBRID SYSTEMS;

EID: 84924950350     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (12)

1. Rigoll G.: Maximum Mutual Information Neural Networks for Hybrid Connectionist-HMM Speech Recognition Systems. IEEE Trans. on Speech and Audio Processing, Special Issue on Neural Networks for Speech, Vol. 2, No. 1, January 1994
2. Rigoll G., Neukirchen Ch.: A new approach to hybrid HMM/ANN speech recognition using mutual information neural networks, Advances in Neural Information Processing Systems 9, NIPS*96 Denver 1996
3. Rigoll G., Neukirchen Ch., Rottland J.: A new hybrid system based on MMI-Neural Networks for the RM speech recognition task. Proc. IEEE Intern. Conference on Acoustics, Speech, and Signal Processing, Atlanta 1996
4. Paul D. and Baker J.: The Design for the Wall Street Journal-based CSR Corpus, DARPA Speech and natural language Workshop, February 1992
5. Carnegie Mellon Pronouncing Dictionary, CMUDICT ftp://ftp.cs.cmu.edu/project/fgdata/dict/cmudict.0.4.Z plus some extension scripts from Bob Weide (weide@cs.cmu.edu)
6. Odell J., Woodland P., Young S.: Tree-Based State Clustering for Large Vocabulary Speech Recognition, International Symposium on Speech, Image Processing and Neural Networks, Hong Kong 1994
7. Lee K.-F., Hon H.-W., Reddy R.: An Overview of the SPHINX Speech Recognition System, IEEE Transactions on ASSP, Vol. 38, No. 1, January 1990
8. Rigoll G., Neukirchen Ch., Rottland J.: Large Vocabulary speaker independent continuous speech recognition with a new hybrid system based on MMI-Neural Networks, Proc. Eurospeech Madrid 1995
9. Pallett D., Fiscus G., Fisher W., Garofolo J.:Benchmark Tests for the DARPA Spoken Language Program, Human Language Technology, Plainsboro NJ, 1993
10. Woodland P.C., Odell J.J., Valtchev V. & Young S.J.: Large Vocabulary Continuous Speech Recognition Using HTK. Proc. IEEE Intern. Conference on Acoustics, Speech, and Signal Processing, Adelaide 1994
11. Lamel L. and Adda G.: On Designing Pronunciation Lexicons for Large Vocabulary, Continuous Speech Recognition, Intern. Conference on Spoken Language Processing, Philadelphia 1996
12. Neukirchen Ch, Rigoll G.:Advanced Training Methods and New Network Topologies for Hybrid MMI-Connectionist/HMM Speech Recognition Systems. Proc IEEE Intern. Conference on Acoustics, Speech, and Signal Processing, Munich 1997