Objective Quality and Intelligibility Prediction for Users of Assistive Listening Devices.
Objective Quality and Intelligibility Prediction for Users of Assistive Listening Devices.
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DOI：
10.1109/msp.2014.2358871
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发表时间：
2015-03
影响因子：
14.9
通讯作者：
Scollie S
中科院分区：
文献类型：
--
作者：
Falk TH;Parsa V;Santos JF;Arehart K;Hazrati O;Huber R;Kates JM;Scollie S
本文对现有的12种客观语音质量和清晰度预测工具进行了综述。提出了两类算法，即侵入式和非侵入式，前者需要使用参考信号，而后者不需要。所调查的指标既包括为正常听力听众开发的指标，也包括为使用辅助听力设备(即助听器、HAS和人工耳蜗，CI)的听障(HI)听众特别定制的指标。针对HI听众进行优化的典型例子包括为助听器(SRMR-HA)和人工耳蜗(SRMR-CI)量身定做的语音-混响调制能量比；调制频谱面积(MODA)；助听器语音质量(HASQI)和感知指数(HASPI)；以及感知模型-听力损伤质量(PEMO-Q-HI)。在三个主观评级的语音数据集上测试了客观度量，包括单独混响、单独噪声和混响加噪声退化条件，以及由非线性频率压缩和不同语音增强策略产生的退化。强调了每种措施的优点和局限性，并就在特定环境和加工条件下建议使用不同的工具提出了建议。
This article presents an overview of twelve existing objective speech quality and intelligibility prediction tools. Two classes of algorithms are presented, namely intrusive and non-intrusive, with the former requiring the use of a reference signal, while the latter does not. Investigated metrics include both those developed for normal hearing listeners, as well as those tailored particularly for hearing impaired (HI) listeners who are users of assistive listening devices (i.e., hearing aids, HAs, and cochlear implants, CIs). Representative examples of those optimized for HI listeners include the speech-to-reverberation modulation energy ratio, tailored to hearing aids (SRMR-HA) and to cochlear implants (SRMR-CI); the modulation spectrum area (ModA); the hearing aid speech quality (HASQI) and perception indices (HASPI); and the PErception MOdel - hearing impairment quality (PEMO-Q-HI). The objective metrics are tested on three subjectively-rated speech datasets covering reverberation-alone, noise-alone, and reverberation-plus-noise degradation conditions, as well as degradations resultant from nonlinear frequency compression and different speech enhancement strategies. The advantages and limitations of each measure are highlighted and recommendations are given for suggested uses of the different tools under specific environmental and processing conditions.