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Statistical Analysis of Complementary Spectral Features of Emotional Speech in Czech and Slovak

机译:捷克语和斯洛伐克语的情感言语补充频谱特征的统计分析

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摘要

Several spectral features quantify speaker-dependent as well as emotion-dependent characteristics of a speech signal. It means these features provide information which complements the vocal tract characteristics. This paper analyzes and compares complementary spectral features distribution (spectral centroid, spectral flatness measure, Shannon entropy) of male and female acted emotional speech in Czech and Slovak languages.
机译:几个频谱特征量化了语音信号的说话者和情感相关特性。这意味着这些功能可提供补充声道特征的信息。本文分析并比较了捷克语和斯洛伐克语中男女行为情感语音的互补频谱特征分布(频谱质心,频谱平坦度测量,香农熵)。

著录项

  • 来源
    《Text, speech and dialogue》|2011年|p.299-306|共8页
  • 会议地点 Pilsen(CZ);Pilsen(CZ)
  • 作者

    Jiri Pribil; Anna Pribilova;

  • 作者单位

    Institute of Measurement Science, SAS, Dubravska cesta 9, SK-841 04 Bratislava, Slovakia,Institute of Photonics and Electronics, Academy of Sciences CR, v.v.i., Chaberska 57, CZ-182 51 Prague 8, Czech Republic;

    Institute of Electronics and Photonics, Faculty of Electrical Engineering Information Technology, Slovak University of Technology, Ilkovicova 3, SK-812 19 Bratislava, Slovakia;

  • 会议组织
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 人工智能理论;
  • 关键词

    spectral features of speech; emotional speech; statistical analysis;

    机译:语音的频谱特征;情感演讲;统计分析;

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