Arabic speech recognition using recurrent neural networks

Proceedings of the 3rd IEEE International Symposium on Signal Processing and Information Technology, ISSPIT 2003

Volumn , Issue , 2003, Pages 543-547

  El Choubassi, M M ^a   El Khoury, H E ^a   Alagha, C E J ^a   Skaf, J A ^a   Al Alaoui, M A ^a  

^a AMERICAN UNIVERSITY OF BEIRUT   (Lebanon)

Author keywords

Automatic speech recognition; Cepstral analysis; Feature extraction; Hidden Markov models; Neural networks; Recurrent neural networks; Speech recognition; Strontium; Vector quantization; Vocabulary

Indexed keywords

FEATURE EXTRACTION; HIDDEN MARKOV MODELS; MARKOV PROCESSES; NEURAL NETWORKS; RECURRENT NEURAL NETWORKS; SIGNAL PROCESSING; SPEECH; STRONTIUM; VECTOR QUANTIZATION;

ARABIC SPEECH RECOGNITION; AUTOMATIC SPEECH RECOGNITION; CEPSTRAL ANALYSIS; ELMAN NEURAL NETWORK; HMM-BASED; ISOLATED SPEECH RECOGNITION; VOCABULARY;

SPEECH RECOGNITION;

EID: 84948164385     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ISSPIT.2003.1341178     Document Type: Conference Paper

References (6)

1. Al-Alaoui, M.A., Mouci, R., Mansour M.M., Ferzli, R., A Cloning Approach to Classifier Training, IEEE Transactions on Systems, Man and Cybernetics - Part A: Systems and Humans, vol.32, no.6, pp.746-752, (2002)
2. Gurney, K., An Introduction to Neural Networks, UCL Press, University of Sheffield (1997).
3. Morgan, D. and Scolfield, C., Neural Networks and Speech Processing, Kluwer Academic Publishers (1991).
4. Picton, P. Neural Networks, Palgrave, NY (2000)
5. Rabiner, L. and Juang, B.-H., Fundamentals of Speech Recognition, PTR Prentice Hall, San Francisco, NJ (1993).
6. Tan Lee, P. C. Ching, L.W. Chan, Isolated Word Recognition Using Modular Recurrent Neural Networks, Pattern Recognition, vol. 31, no. 6, pp. 751-760 (1998)