A Comparison of Hmm and Neural Network Approaches to Real World Telephone Speech Applications
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چکیده
WORLD TELEPHONE SPEECH APPLICATIONS Pieter Vermeulen, Etienne Barnard, Yonghong Yan, Mark Fanty and Ronald Coley Center for Spoken Language Understanding, Oregon Graduate Institute of Science and Technology 20000 N.W. Walker Road, P.O. Box 91000, Portland, OR 97291-1000, USA Tel: +1 503-6901484, E-mail: [email protected] ABSTRACT We compare a standard HMM based and a neural network based approach to speech recognition. The application is the speaker independent recognition of a small vocabulary over the telephone. While the recognition results are comparable, it is argued that the neural network system is a better choice for implementation.
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تاریخ انتشار 2007