Perception of synthetic emotion expressions in speech: Categorical and dimensional annotations

J. Kessens, Mark Antonius Neerincx, R. Looije, M. Kroes, G. Bloothooft
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引用次数: 3

Abstract

In this paper, both categorical and dimensional annotations have been made of neutral and emotional speech synthesis (anger, fear, sad, happy and relaxed). With various prosodic emotion manipulation techniques we found emotion classification rates of 40%, which is significantly above chance level (17%). The classification rates are higher for sentences that have a semantics matching the synthetic emotion. By manipulating the pitch and duration, differences in arousal were perceived whereas differences in valence were hardly perceived. Of the investigated emotion manipulation methods, EmoFilt and EmoSpeak performed very similar, except for the emotion fear. Copy synthesis did not perform well, probably caused by suboptimal alignments and the use of multiple speakers.
语音中综合情感表达的感知:范畴和维度注释
本文对中性和情绪语音合成(愤怒、恐惧、悲伤、快乐和放松)进行了分类和维度标注。使用不同的韵律情绪控制技术,我们发现情绪分类率为40%,显著高于机会水平(17%)。对于语义与合成情感相匹配的句子,分类率更高。通过控制音高和持续时间,唤醒的差异被感知到,而效价的差异几乎被感知到。在所调查的情绪操纵方法中,EmoFilt和EmoSpeak的表现非常相似,除了情绪恐惧。复制合成表现不佳,可能是由于次优对齐和使用多个扬声器造成的。
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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