语音信号的冗余性与语音自动识别的鲁棒性

2012 XIII International Symposium on Problems of Redundancy in Information and Control Systems Pub Date : 2012-10-25 DOI:10.1109/RED.2012.6338416

J. Yousafzai, Z. Cvetković, M. Ager, Peter Sollich

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引用次数: 1

摘要

自动语音识别(ASR)系统尚未达到人类听觉系统语音识别固有的鲁棒性水平。本文的主要目的是论证利用语音信号中的冗余可能是解决鲁棒性不足问题的关键。这一观点得到了我们最近在有噪声情况下音素分类和识别的研究结果的支持。

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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Redundancy in speech signals and robustness of automatic speech recognition

Automatic speech recognition (ASR) systems are yet to achieve the level of robustness inherent to speech recognition by the human auditory system. The primary goal of this paper is to argue that exploiting the redundancy in speech signals could be the key to solving the problem of the lack of robustness. This view is supported by our recent results on phoneme classification and recognition in the presence of noise which are surveyed in this paper.

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2012 XIII International Symposium on Problems of Redundancy in Information and Control Systems

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