Contribution of voice quality to prediction of turn-taking events

M. Wlodarczak, Mattias Heldne
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Abstract

This paper evaluates the contribution of acoustic voice quality measures to prediction of upcoming floor change and retention. In order to minimize the influence of vocal tract resonances, the measures were calculated from miniature accelerometers attached to the tracheal wall. Overall, speaker changes accom-panied by silence were characterized by lower periodicity and steeper spectral slope than turn-holds and speaker changes in-volving overlapping speech. When used on their own, voice quality features contributed to prediction of turn-taking category, this was particularly true of smoothed cepstral peak prominence (CPPS). At the same time, their importance was limited when used in combination with fundamental frequency and intensity, especially compared to the joint effect of these two predictors.
语音质量对轮替事件预测的贡献
本文评估了声学语音质量指标对预测即将到来的地板变化和保留的贡献。为了最大限度地减少声道共振的影响,我们通过附着在气管壁上的微型加速度计来计算这些措施。总体而言,沉默伴随的说话人变化比回合保持和重叠语音的说话人变化具有更低的周期性和更陡的频谱斜率。当单独使用时,语音质量特征有助于轮次类别的预测,特别是平滑倒谱峰突出(CPPS)。同时,当与基频和强度结合使用时,它们的重要性是有限的,特别是与这两个预测因子的联合效应相比。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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