Department of Speech and Hearing Science, The Ohio State University, Columbus, Ohio 43210, USA.
J Acoust Soc Am. 2013 Jan;133(1):463-73. doi: 10.1121/1.4770246.
Band-importance functions were created using the "compound" technique [Apoux and Healy, J. Acoust. Soc. Am. 132, 1078-1087 (2012)] that accounts for the multitude of synergistic and redundant interactions that take place among speech bands. Functions were created for standard recordings of the speech perception in noise (SPIN) sentences and the Central Institute for the Deaf (CID) W-22 words using 21 critical-band divisions and steep filtering to eliminate the influence of filter slopes. On a given trial, a band of interest was presented along with four other bands having spectral locations determined randomly on each trial. In corresponding trials, the band of interest was absent and only the four other bands were present. The importance of the band of interest was determined by the difference between paired band-present and band-absent trials. Because the locations of the other bands changed randomly from trial to trial, various interactions occurred between the band of interest and other speech bands which provided a general estimate of band importance. Obtained band-importance functions differed substantially from those currently available for identical speech recordings. In addition to differences in the overall shape of the functions, especially for the W-22 words, a complex microstructure was observed in which the importance of adjacent frequency bands often varied considerably. This microstructure may result in better predictive power of the current functions.
使用“复合”技术创建了带重要性函数[Apoux 和 Healy,J. Acoust. Soc. Am. 132, 1078-1087(2012)],该技术考虑了语音带之间发生的众多协同和冗余相互作用。使用 21 个临界频带划分和陡峭滤波来消除滤波器斜率的影响,为语音感知噪声(SPIN)句子和中央聋人研究所(CID)W-22 词的标准录音创建了函数。在给定的试验中,与四个其他具有随机确定的频谱位置的频带一起呈现感兴趣的频带。在相应的试验中,感兴趣的频带不存在,只有四个其他频带存在。通过比较配对的带通和带阻试验来确定感兴趣频带的重要性。由于其他频带的位置在每次试验中都是随机变化的,因此感兴趣频带与其他语音频带之间发生了各种相互作用,这提供了频带重要性的一般估计。获得的带重要性函数与当前用于相同语音记录的函数有很大不同。除了函数整体形状的差异外,特别是对于 W-22 单词,还观察到了复杂的微观结构,其中相邻频带的重要性经常有很大差异。这种微观结构可能会提高当前函数的预测能力。