Quality assessment for listening-room compensation algorithms
Quality assessment for listening-room compensation algorithms
复制标题
听音室补偿算法的质量评估
DOI：
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发表时间：
2010
期刊：
影响因子：
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通讯作者：
K. Kammeyer
中科院分区：
文献类型：
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作者：
Stefan Goetze;E. Albertin;M. Kallinger;A. Mertins;K. Kammeyer
在这方面的贡献，各种客观的措施，可以用来评估语音去混响算法的装置的休息室补偿（LRC）进行比较，以主观的听力测试。它示出的技术措施描述的脉冲响应是适合于评估这样的算法。大多数基于信号的客观测量无法判断LRC算法（如后期混响）可能引入的特定失真，因为这些伪影幅度小，但由于房间脉冲响应的掩蔽损失而与感知相关。只有一个信号为基础的措施，所谓的感知相似性措施（PSM），表现出较高的相关性与主观评级为给定的测试设置。
In this contribution various objective measures that can be used to evaluate speech dereverberation algorithms by means of listening-room compensation (LRC) are compared to subjective listening tests. It is shown that technical measures describing the impulse responses are suitable for evaluation of such algorithms. Most signal-based objective measures fail to judge the specific distortions that may be introduced by LRC algorithms like late reverberation since these artifacts are small in amplitude but perceptually relevant due to the loss of masking of the room impulse response. Only one signal-based measure, the so-called perceptual similarity measure (PSM), showed high correlation with subjective rating for the given test setup.