Department of Speech and Hearing Science, The Ohio State University, Columbus, Ohio 43210, USA.
J Acoust Soc Am. 2011 Dec;130(6):4044-52. doi: 10.1121/1.3652888.
The present study assessed the relative contribution of the "target" and "masker" temporal fine structure (TFS) when identifying consonants. Accordingly, the TFS of the target and that of the masker were manipulated simultaneously or independently. A 30 band vocoder was used to replace the original TFS of the stimuli with tones. Four masker types were used. They included a speech-shaped noise, a speech-shaped noise modulated by a speech envelope, a sentence, or a sentence played backward. When the TFS of the target and that of the masker were disrupted simultaneously, consonant recognition dropped significantly compared to the unprocessed condition for all masker types, except the speech-shaped noise. Disruption of only the target TFS led to a significant drop in performance with all masker types. In contrast, disruption of only the masker TFS had no effect on recognition. Overall, the present data are consistent with previous work showing that TFS information plays a significant role in speech recognition in noise, especially when the noise fluctuates over time. However, the present study indicates that listeners rely primarily on TFS information in the target and that the nature of the masker TFS has a very limited influence on the outcome of the unmasking process.
本研究评估了在识别辅音时,“目标”和“掩蔽”时频结构(TFS)的相对贡献。因此,同时或独立地操纵目标和掩蔽的 TFS。使用 30 带声码器用音调替换刺激的原始 TFS。使用了四种掩蔽类型。它们包括语音噪声、由语音包络调制的语音噪声、句子或倒放的句子。当目标和掩蔽的 TFS 同时受到干扰时,与未处理条件相比,除了语音噪声外,所有掩蔽类型的辅音识别率都显著下降。仅干扰目标 TFS 会导致所有掩蔽类型的性能显著下降。相比之下,仅干扰掩蔽 TFS 对识别没有影响。总的来说,本研究结果与先前的工作一致,表明 TFS 信息在噪声中的语音识别中起着重要作用,尤其是当噪声随时间波动时。然而,本研究表明,听众主要依赖于目标中的 TFS 信息,掩蔽的 TFS 的性质对去掩蔽过程的结果影响非常有限。