Analysis of prosodic correlates of emotional speech data

K. Bartkova, D. Jouvet
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引用次数: 2

Abstract

The study of expressive speech styles remains an important topic as to their parameters detection or prediction in speech processing. In this paper, we analyze prosodic correlates for six emotion styles (anger, disgust, joy, fear, surprise and sadness), using data uttered by two speakers. The analysis is focused on the way pronunciations and prosodic parameters are modified in emotional speech, compared to neutral style. The analysis concerns speech pronunciation modifications, presence of pauses in sentences, and local prosodic behavior, with an emphasis set on the analysis of the prosody over prosodic groups and breathing groups.
情绪言语数据的韵律相关性分析
语音表达风格的参数检测和预测一直是语音处理领域的一个重要研究课题。在本文中,我们分析了六种情绪类型(愤怒,厌恶,喜悦,恐惧,惊讶和悲伤)的韵律相关性,使用两位说话者的数据。本文着重分析了情感语言与中性语言相比,语音和韵律参数的变化方式。分析涉及语音的发音变化、句子中停顿的存在和局部韵律行为,重点放在韵律分析上,而不是韵律组和呼吸组。
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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