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首页> 外文会议>International Symposium on Communications and Information Technologies(ISCIT 2005) vol.1; 20051012-14; Beijgin(CN) >A New Noisy Speech Recognition Method
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A New Noisy Speech Recognition Method

机译：一种新的嘈杂语音识别方法

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摘要

The use of speech recognition techniques in many practical applications has demonstrated the need for improved algorithm to suppress the effect of the background noise. This paper describes a new speech recognition method based on morphology that provides robust performance in noisy environments. Morphological operations are nonlinear signal transformations that locally modify geometric features of signals. The morphological filter is firstly used as the front-end noise suppression algorithm for noisy speech data that will be tested by a speech recognition system. But on the other hand the enhanced speech has some distortions compared to the original clean speech, causing loss of some speech details and errors in recognition. Therefore, the same morphological filter is used to preprocess the training speech examples before the training phase. The experimental results show that the performance of speech recognition systems can be improved effectively by using the new method under noisy environment.
机译：语音识别技术在许多实际应用中的使用表明，需要改进的算法来抑制背景噪声的影响。本文介绍了一种新的基于形态学的语音识别方法，该方法可在嘈杂的环境中提供强大的性能。形态学运算是非线性信号转换，可局部修改信号的几何特征。形态滤波器首先用作将要由语音识别系统测试的嘈杂语音数据的前端噪声抑制算法。但是另一方面，增强的语音与原始的干净语音相比有一些失真，从而导致某些语音细节的丢失和识别错误。因此，在训练阶段之前，使用相同的形态过滤器对训练语音示例进行预处理。实验结果表明，在噪声环境下，该方法可以有效提高语音识别系统的性能。

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