用于移动环境中声学回波消除和语音识别的降噪GMDF

J. Lariviere, R. Goubran
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引用次数: 2

摘要

提出了一种适用于自动语音识别(ASR)和声回波消除(AEC)的广义多延迟频域算法。研究结果表明,该算法能够抑制免提移动电话中来自麦克风信号的汽车噪声,从而改善了来自商用ASR引擎的数字识别器的回波回波损失增强(ERLE)和错误率。最小的计算涉及到增强,例如,对于每个输出样本额外的11 N/P实乘法和8 N/P实加法,其中N是块大小,P是每次GMDF迭代的输出样本数量,结果显示在低信噪比(-5dB)下,ERLE平均增加了9dB,数字错误识别率提高了15%。
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Noise-reduced GMDF for acoustic echo cancellation and speech recognition in mobile environments
A noise-reduction (NR) enhancement to the generalized multi-delay frequency domain algorithm, suitable for automatic speech recognition (ASR) and acoustic echo cancellation (AEC) is presented. Findings are presented on the ability of the algorithm to suppress car noise from the microphone signal in hands-free mobile telephony in terms of an improvement in echo return loss enhancement (ERLE) and error rates of a digit recognizer from a commercial ASR engine. Minimal computations are involved in the enhancement, e.g. for an additional 11 N/P real multiplies and 8 N/P real additions per output sample, where N is the block size and P is the number of output samples per GMDF iteration, results show an average increase in ERLE of 9dB and an improvement of 15% in digit error recognition rates at low SNR (-5dB).
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