Title :
Two-level recognition of isolated word using neural nets
Author :
Howard, I.S. ; Huckvale, M.A.
Author_Institution :
Univ. Coll., London, UK
Abstract :
Describes a neural-net based isolated word recogniser that has a better performance on a standard multi-speaker database than the reference hidden Markov model recogniser. The complete neural net recogniser is formed from two parts: a front-end which transforms the complex acoustic specification of the speech into a simplified phonetic feature specification, and a whole-word discriminator net. Each level was trained separately, thus considerably reducing the time necessary to train the overall system
Keywords :
neural nets; speech recognition; acoustic specification; isolated word recogniser; neural nets; phonetic feature specification; two level speech recognition; whole-word discriminator net;
Conference_Titel :
Artificial Neural Networks, 1989., First IEE International Conference on (Conf. Publ. No. 313)
Conference_Location :
London
