A NEW MASK-BASED OBJECTIVE MEASURE FOR PREDICTING THE INTELLIGIBILITY OF BINARY MASKED SPEECH.
A NEW MASK-BASED OBJECTIVE MEASURE FOR PREDICTING THE INTELLIGIBILITY OF BINARY MASKED SPEECH.
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一种基于掩码的新客观测量方法，用于预测二进制掩码语音的清晰度。
DOI：
10.1109/icassp.2013.6639025
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发表时间：
2013
期刊：
影响因子：
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通讯作者：
Hansen,JohnHL
中科院分区：
文献类型：
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作者：
Yu,Chengzhu;Wójcicki,KamilK;Loizou,PC;Hansen,JohnHL
基于掩码的客观语音清晰度度量已经被成功地用于评估二进制掩蔽算法的性能。这些客观度量是通过将估计的二值掩码与地面真实理想二值掩码(IdBM)进行比较来直接计算的。然而，这些客观测量中的大多数赋予所有时频(T-F)单位相同的权重。在这项研究中，我们建议改进现有的基于掩模的客观测量方法，根据目标或掩膜响度对每个T-F单元进行加权。与其他两个现有的基于掩码的客观度量相比，提出的客观度量的性能要好得多。
Mask-based objective speech-intelligibility measures have been successfully proposed for evaluating the performance of binary masking algorithms. These objective measures were computed directly by comparing the estimated binary mask against the ground truth ideal binary mask (IdBM). Most of these objective measures, however, assign equal weight to all time-frequency (T-F) units. In this study, we propose to improve the existing mask-based objective measures by weighting each T-F unit according to its target or masker loudness. The proposed objective measure shows significantly better performance than two other existing mask-based objective measures.