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首页> 外文期刊>The Journal of the Acoustical Society of America >Speech-cue transmission by an algorithm to increase consonant recognition in noise for hearing-impaired listeners
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Speech-cue transmission by an algorithm to increase consonant recognition in noise for hearing-impaired listeners

机译：通过算法进行语音提示传输，以增强听力障碍听众在噪声中的辅音识别能力

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摘要

Consonant recognition was assessed following extraction of speech from noise using a more efficient version of the speech-segregation algorithm described in Healy, Yoho, Wang, and Wang [(2013) J. Acoust. Soc. Am. 134, 3029-3038]. Substantial increases in recognition were observed following algorithm processing, which were significantly larger for hearing-impaired (HI) than for normal-hearing (NH) listeners in both speech-shaped noise and babble backgrounds. As observed previously for sentence recognition, older HI listeners having access to the algorithm performed as well or better than young NH listeners in conditions of identical noise. It was also found that the binary masks estimated by the algorithm transmitted speech features to listeners in a fashion highly similar to that of the ideal binary mask (IBM), suggesting that the algorithm is estimating the IBM with substantial accuracy. Further, the speech features associated with voicing, manner of articulation, and place of articulation were all transmitted with relative uniformity and at relatively high levels, indicating that the algorithm and the IBM transmit speech cues without obvious deficiency. Because the current implementation of the algorithm is much more efficient, it should be more amenable to real-time implementation in devices such as hearing aids and cochlear implants. (C) 2014 Acoustical Society of America.
机译：使用Healy，Yoho，Wang和Wang [（2013）J. Acoust。 Soc。上午。 134，3029-3038]。在算法处理之后，观察到了识别能力的大幅提高，在语音形噪声和胡言乱语的背景下，听力受损（HI）的听众比正常听力（NH）的听众要大得多。如先前在句子识别中所观​​察到的，在相同噪声的条件下，能够使用该算法的年长HI听众的表现与年轻的NH听众相同或更好。还发现，该算法估计的二进制掩码以与理想二进制掩码（IBM）高度相似的方式将语音特征传输给听众，这表明该算法估计IBM的准确性很高。此外，与发声相关的语音特征，发声方式和发声位置都以相对均匀和较高的水平进行了传输，这表明算法和IBM传输语音提示时没有明显的缺陷。因为该算法的当前实现效率更高，所以它应该更适合于在助听器和人工耳蜗等设备中的实时实现。 （C）2014美国声学学会。

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