Neural networks for automatic speech recognition: a review
作者： Jean-Paul Haton
DOI: 10.1007/978-1-4471-0845-0_14
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摘要: Most present automatic speech recognition systems are based on stochastic models, especially hidden Markov models (HMMs). However, during the past ten years, several projects have been directed toward use of a new class models: connectionist artificial neural networks (ANNs).
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