基于改进运行谱滤波的鲁棒语音识别研究

Kyung-Hyo Lee, Y. Miyanaga
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引用次数: 0

摘要

本文提出了一种低阶滤波器的低通运行谱滤波(low - pass RSF)。利用所提出的滤波方法,降低了调制频谱域高频段的加性噪声,实现了高速计算机制。低通RSF还采用倒频谱平均减法(CMS)和动态范围调整法(DRA)。采用该方法,可以在较低的计算成本下获得与传统噪声鲁棒语音识别相似的识别性能。
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A study of robust speech recognition using modified running-spectrum-filtering
This paper proposes Low-Pass running spectrum filtering (Low-Pass RSF) with low filter order. Using the proposed filtering, additive noises in high frequency band of the modulation spectrum domain are reduced and high speed calculation mechanism are realized. The cepstrum mean subtraction method (CMS) and dynamic range adjustment (DRA) are also employed with Low-Pass RSF. Using the proposed method, the similar recognition performance as conventional noise robust speech recognition can be obtained with quite low calculation cost.
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