Georg von Békésy: Visualization of hearing.

Georg von Békésy received the Nobel Prize in 1961 for his research on the functioning of the auditory system. In psychoacoustics, Békésy both extended and perfected the lines of research begun by von Helmholtz in the 19th century. First in his native Hungary and later at Harvard, Békésy used novel and imaginative devices and methods to observe and model the functioning of the inner ear. He also explored the nature of sensory inhibition by which the nervous system sharpens sensory transitions. (PsycINFO Database Record (c) 2010 APA, all rights reserved)     

基于内容的压缩音频分类系统的研究

设计了一个对压缩音频进行基于内容分类的系统,并对系统各个模块的实现方法和原理进行了深入的分析和探讨.充分考虑到了人耳的听觉特性,利用编码器的计算结果和心理声学的研究成果,对从压缩音频中提取参数的含义做了透彻的分析,并通过实验检验了方法的有效性,从而在理论和实践两方面验证了方法的正确性和可行性.     

Noise suppression by spectral magnitude estimation —mechanism and theoretical limits—

Recently several noise suppression schemes have been proposed which are associated with the estimation of short-time magnitude spectra. In this paper the fundamental mechanism is discussed from a general point of view. Especially the issue of noisy phase and the theoretical limits of noise suppression are investigated. Experimental verification is based on a Polyphase-Network (PPN) filter bank.     

The Prototype Model in Speaker Identification by Human Listeners

Little is known about the perceptual processes of speaker identification and their relationship to the acoustic features of the speaker's voice. A study of speaker perception and identification by psychoacoustic experiments was carried out. Twenty male speakers were recorded and thirty listeners participated in the experiments. Statistical analysis of the results suggests that the prototype model is appropriate for explaining the process of speaker identification. The most important features for speaker identification were the fundamental frequency, the third and fourth formants, and the closing phase of the glottal wave. For different listeners, different sets of features were found to be significant for coding speaker identity.     

一种改进的心理声学语音质量客观评价算法

分析了国际电信联盟提出的语音质量感知评价算法的原理,优化了其中的心理声学模型,提出了高效语音质量感知评价(EPESQ)算法。该算法采用无滤波或理想带通滤波代替原算法的IRS滤波,用对数关系简化了强度扭曲过程,并基于人耳的掩蔽效应,按照语音帧能量的不同来简化扰动聚合的加权过程。实验表明,EPESQ算法的时间复杂度平均比原算法降低了39%,而与主观评价的相关度仅下降了8.8%。此算法适合于语音质量实时测评和嵌入式系统实现,并且已经应用在自行研制的Internet语音通信系统中。     

基于心理声学模型的广播音质实时监测方法

提出了一种基于心理声学模型的广播音质实时监测方法,该方法利用软件模拟心理声学模型算法,考虑到人耳对音质的心理感知特性,以测试HD Radio系统不同节目的音质变化情况。提出的基于心理声学模型的广播音质实时监测方法,克服了SNR测试不能反映人耳实际感受、测试者主观打分不能保证监测的实时性和反复性的缺点,具有广泛的应用前景。