基于HMM和混合ann -HMM的连续语音识别系统的比较

ITS'98 Proceedings. SBT/IEEE International Telecommunications Symposium (Cat. No.98EX202) Pub Date : 1998-08-09 DOI:10.1109/ITS.1998.713105

C. Ynoguti, E. da silva Morais, F. Violaro

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引用次数: 1

摘要

本文的目的是比较两种连续语音识别系统的性能，一种是基于隐马尔可夫模型(HMM)，另一种是基于混合人工神经网络和隐马尔可夫模型(ANN-HMM)。比较是在识别率和计算复杂度方面。初步结果有利于混合系统。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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A comparison between HMM and hybrid ANN-HMM-based systems for continuous speech recognition

The purpose of this paper is to compare the performance of two continuous speech recognition systems, one based on hidden Markov models (HMM) and the other based on hybrid artificial neural networks and hidden Markov models (ANN-HMM). The comparisons are in terms of recognition rate and in terms of computational complexity. Preliminary results points favorably to hybrid systems.

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ITS'98 Proceedings. SBT/IEEE International Telecommunications Symposium (Cat. No.98EX202)

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