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The Relative Weight of Temporal Envelope Cues in Different Frequency Regions for Mandarin Sentence Recognition

机译:汉语普通话句识别中不同频率区域的时间包络线索的相对权重

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摘要

Acoustic temporal envelope (E) cues containing speech information are distributed across the frequency spectrum. To investigate the relative weight of E cues in different frequency regions for Mandarin sentence recognition, E information was extracted from 30 contiguous bands across the range of 80–7,562 Hz using Hilbert decomposition and then allocated to five frequency regions. Recognition scores were obtained with acoustic E cues from 1 or 2 random regions from 40 normal-hearing listeners. While the recognition scores ranged from 8.2% to 16.3% when E information from only one region was available, the scores ranged from 57.9% to 87.7% when E information from two frequency regions was presented, suggesting a synergistic effect among the temporal E cues in different frequency regions. Next, the relative contributions of the E information from the five frequency regions to sentence perception were computed using a least-squares approach. The results demonstrated that, for Mandarin Chinese, a tonal language, the temporal E cues of Frequency Region 1 (80–502 Hz) and Region 3 (1,022–1,913 Hz) contributed more to the intelligence of sentence recognition than other regions, particularly the region of 80–502 Hz, which contained fundamental frequency (F0) information.
机译:包含语音信息的声音时间包络(E)线索分布在整个频谱中。为了研究不同频率区域中E线索对普通话句子识别的相对权重,使用Hilbert分解从80至7,562 Hz范围内的30个连续频带中提取E信息,然后将其分配给五个频率区域。使用来自40个正常听觉者的1个或2个随机区域的声音E线索获得识别分数。当仅来自一个区域的E信息可用时,识别分数在8.2%至16.3%的范围内,而当呈现来自两个频率区域的E信息时,识别分数在57.9%至87.7%的范围内,表明在时间上的E线索之间存在协同作用不同的频率区域接下来,使用最小二乘法计算来自五个频率区域的E信息对句子感知的相对贡献。结果表明,对于普通话而言,第1频域(80–502 Hz)和第3频域(1,022–1,913 Hz)的时态线索对句子识别智能的贡献要大于其他区域,特别是80-502 Hz的区域,其中包含基本频率(F0)信息。

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