混合语音识别系统的无监督和半监督自适应

2012 IEEE 11th International Conference on Signal Processing Pub Date : 2012-10-01 DOI:10.1109/ICOSP.2012.6491542

J. Trmal, J. Zelinka, Ludek Muller

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引用次数: 1

摘要

本文评估了最近发表的一种用于混合语音识别系统的神经网络的监督和无监督自适应方法。用于混合语音识别领域的神经网络具有某些明显的特点，使得通常的自适应方法(如再训练神经网络)无法使用或无效。

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Unsupervised and semi-supervised adaptation of a hybrid speech recognition system

This paper evaluates a recently published method for supervised and unsupervised adaptation of neural networks used in hybrid speech recognition systems. The neural networks used in the field of hybrid speech recognition have certain distinct characteristics that make the usual adaptation methods (such as retraining the neural network) unusable or ineffective.

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来源期刊

2012 IEEE 11th International Conference on Signal Processing

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