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English(EN) Looking for Affect in Spontaneous Finnish Speech through Linguistic Interpretability

芬兰语语音情感分析结合文本和音频特征以改进效价预测

研究人员调查了语言和声学特征对自发芬兰语语音情感感知的影响。他们的研究利用了一个新发布的语音情感语料库,发现与单独使用文本或音频特征相比,结合文本和音频特征显著提高了效价预测的回归结果。然而,对于唤醒度预测,结合这些特征的互补效应并不显著,这与其他语言研究的先前发现一致。 AI

影响 为多模态情感识别提供了见解,可能改进处理口语的AI系统。

排序理由 关于语音分析和情感的学术论文。[lever_c_demoted from research: ic=1 ai=1.0]

在 arXiv cs.CL 阅读 →

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芬兰语语音情感分析结合文本和音频特征以改进效价预测

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关于语音分析和情感的学术论文。[lever_c_demoted from research: ic=1 ai=1.0]
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报道来源 [1]

  1. arXiv cs.CL TIER_1 English(EN) · Kalle Lahtinen, Liisa Mustanoja, Okko R\"as\"anen ·

    通过语言学可解释性探寻芬兰语即兴语音中的情感

    arXiv:2607.24155v1 Announce Type: new Abstract: Existing research on affect in speech has shown how acoustic surface characteristics and content-related linguistic aspects of speech both relate to perceived emotional arousal and valence. However, it is not clear what the relative…