基于贝叶斯网络的连续多波段语音识别

IEEE Workshop on Automatic Speech Recognition and Understanding, 2001. ASRU '01. Pub Date : 2001-12-09 DOI:10.1109/ASRU.2001.1034584

K. Daoudi, D. Fohr, Christophe Antoine

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引用次数: 17

摘要

利用贝叶斯网络框架，提出了一种新的多频带连续语音识别方法。这种新方法的优点是克服了标准多波段技术的局限性。与hmm相比，该模型的语音建模保真度更高。我们对我们的新方法在连接数字识别任务上的性能进行了初步评估。

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Continuous multi-band speech recognition using Bayesian networks

Using the Bayesian networks framework, we present a new multi-band approach for continuous speech recognition. This new approach has the advantage of overcoming all the limitations of the standard multi-band techniques. Moreover, it leads to a higher fidelity speech modeling than HMMs. We provide a preliminary evaluation of the performance of our new approach on a connected digits recognition task.

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IEEE Workshop on Automatic Speech Recognition and Understanding, 2001. ASRU '01.

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