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Acoustic Cue Integration in Speech Intonation Recognition With Cochlear Implants

机译:人工耳蜗植入语音语调识别中的声学提示集成。

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摘要

The present article reports on the perceptual weighting of prosodic cues in question-statement identification by adult cochlear implant (CI) listeners. Acoustic analyses of normal-hearing (NH) listeners’ production of sentences spoken as questions or statements confirmed that in English the last bisyllabic word in a sentence carries the dominant cues (F0, duration, and intensity patterns) for the contrast. Furthermore, these analyses showed that the F0 contour is the primary cue for the question-statement contrast, with intensity and duration changes conveying important but less reliable information. On the basis of these acoustic findings, the authors examined adult CI listeners’ performance in two question-statement identification tasks. In Task 1, 13 CI listeners’ question-statement identification accuracy was measured using naturally uttered sentences matched for their syntactic structures. In Task 2, the same listeners’ perceptual cue weighting in question-statement identification was assessed using resynthesized single-word stimuli, within which fundamental frequency (F0), intensity, and duration properties were systematically manipulated. Both tasks were also conducted with four NH listeners with full-spectrum and noise-band-vocoded stimuli. Perceptual cue weighting was assessed by comparing the estimated coefficients in logistic models fitted to the data. Of the 13 CI listeners, 7 achieved high performance levels in Task 1. The results of Task 2 indicated that multiple sources of acoustic cues for question-statement identification were utilized to different extents depending on the listening conditions (e.g., full spectrum vs. spectrally degraded) or the listeners’ hearing and amplification status (e.g., CI vs. NH).
机译:本文报告了成年人工耳蜗(CI)听众在问题陈述识别中韵律提示的感知加权。对正常听力(NH)听众以问题或陈述形式说话的句子的声音分析证实,英语中句子中的最后一个双音节词带有对比的主要提示(F0,持续时间和强度模式)。此外,这些分析表明,F0轮廓是问题陈述对比的主要线索,强度和持续时间的变化传达了重要但不可靠的信息。基于这些听觉发现,作者检查了成人CI听众在两个问题陈述识别任务中的表现。在任务1中,使用匹配其句法结构的自然发声句子来衡量13位CI听众的问题陈述识别准确性。在任务2中,使用重新合成的单字刺激评估了在提问者陈述识别中相同的听众的感知提示权重,在该刺激中系统地操纵了基本频率(F0),强度和持续时间属性。这两个任务还由四个具有全频谱和噪声带声码刺激的NH监听器执行。通过比较拟合到数据的逻辑模型中的估计系数来评估感知提示权重。在13个CI侦听器中,有7个在任务1中达到了较高的性能水平。任务2的结果表明,根据听音条件(例如,全谱与频谱)在不同程度上利用了多种声音提示进行问题陈述的识别。降级)或听众的听力和放大状态(例如CI与NH)。

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