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<p>Emotional expression in speech varies with grammatical subjects, including personal pronouns. This study reports the development and validation of a novel Mandarin Chinese auditory emotional speech dataset comprising sentences with first-, second-, and third-person pronouns. Six professionally trained actors recorded 200 semantically meaningful sentences in a neutral tone and six basic emotions: happiness, sadness, anger, fear, disgust, and surprise. Emotional labels and intensity ratings were provided by 720 native Chinese-speaking college students. The final dataset includes 6,675 validated recordings, including Neutral (1,169), Sadness (1,187), Anger (671), Surprise (969), Disgust (738), Happiness (785), and Fear (671) utterances. Of these, 2,729 recordings contain first-person pronouns, 2,608 contain second-person pronouns, and 1,338 contain third-person pronouns. The dataset demonstrated acceptable inter-rater reliability and robust associations between acoustic features and emotion recognition performance. Each recording includes the raw waveform file, emotion recognition rates, perceived intensity ratings, and a comprehensive set of extracted acoustic features. This validated emotional speech corpus offers a unique and valuable resource for research in linguistics, psychological science, neuroscience, and clinical rehabilitation.</p>

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A validated Mandarin Chinese Auditory Emotion Database of Subject-Personal-Pronoun Sentences (MCAE-SPPS)

  • 期刊论文

  • 出版模式：

    开放获取

  • 发表日期：

    2026年3月5日

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  • Mengyuan Li,
  • Anqi Zhou,
  • Huiru Yan,
  • Qiuhong Li,
  • Chifen Ma,
  • Chao Wu

摘要

Emotional expression in speech varies with grammatical subjects, including personal pronouns. This study reports the development and validation of a novel Mandarin Chinese auditory emotional speech dataset comprising sentences with first-, second-, and third-person pronouns. Six professionally trained actors recorded 200 semantically meaningful sentences in a neutral tone and six basic emotions: happiness, sadness, anger, fear, disgust, and surprise. Emotional labels and intensity ratings were provided by 720 native Chinese-speaking college students. The final dataset includes 6,675 validated recordings, including Neutral (1,169), Sadness (1,187), Anger (671), Surprise (969), Disgust (738), Happiness (785), and Fear (671) utterances. Of these, 2,729 recordings contain first-person pronouns, 2,608 contain second-person pronouns, and 1,338 contain third-person pronouns. The dataset demonstrated acceptable inter-rater reliability and robust associations between acoustic features and emotion recognition performance. Each recording includes the raw waveform file, emotion recognition rates, perceived intensity ratings, and a comprehensive set of extracted acoustic features. This validated emotional speech corpus offers a unique and valuable resource for research in linguistics, psychological science, neuroscience, and clinical rehabilitation.