Transient-based speech transmission index for predicting intelligibility in nonlinear speech enhancement processors
Transient-based speech transmission index for predicting intelligibility in nonlinear speech enhancement processors
复制标题
用于预测非线性语音增强处理器中清晰度的基于瞬态的语音传输指数
DOI：
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发表时间：
2012
期刊：
影响因子：
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通讯作者：
A. Schlesinger
中科院分区：
文献类型：
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作者：
A. Schlesinger
提出了一种新的语音可懂度指标，用于评价语音增强处理器。这些处理器通常会影响语音中的精细结构，这对语音清晰度至关重要。经典的度量分析整个信号，从而通常高估可懂度。因此，这里提出的措施，隔离语音瞬变的倒谱平滑技术，并随后计算语音清晰度使用一个有效的版本的语音传输指数。通过遗传优化的可调参数，建议的过渡为基础的语音传输指数（TB STI）的线性和非线性处理的语音的主观数据。该方法在未经训练的主观数据上进行了评估，并显示出比其他成熟的措施有相当大的改进。
A new speech intelligibility metric is proposed for the assessment of speech enhancement processors. These processors usually affect the fine structure in speech that is of fundamental importance to speech intelligibility. Classical metrics analyze the entire signal and thereby generally overestimate intelligibility. The measure presented here, therefore, isolates speech-transients by a cepstral smoothing technique and subsequently calculates speech intelligibility using an efficient version of the speech transmission index. By means of a genetic optimization of adjustable parameters, the proposed transition-based speech transmission index (TB STI) is adapted to the subjective data of linearly and nonlinearly processed speech. The method was assessed on untrained subjective data and showed a considerable improvement over other well-established measures.
影响因子：
2.4
作者：
Goldsworthy, RL;Greenberg, JE
通讯作者：
Greenberg, JE