@inproceedings{wenqi-etal-2024-ji,
    title = "基于机器学习的语音情感声学特征筛选(Acoustic Feature Selection for Speech Emotion Based on Machine Learning)",
    author = "Wenqi, Dong  and
      Han, Wang  and
      Jingwei, Zhang",
    editor = "Sun, Maosong  and
      Liang, Jiye  and
      Han, Xianpei  and
      Liu, Zhiyuan  and
      He, Yulan",
    booktitle = "Proceedings of the 23rd Chinese National Conference on Computational Linguistics (Volume 1: Main Conference)",
    month = jul,
    year = "2024",
    address = "Taiyuan, China",
    publisher = "Chinese Information Processing Society of China",
    url = "https://preview.aclanthology.org/fix-sig-urls/2024.ccl-1.44/",
    pages = "568--576",
    language = "zho",
    abstract = "``筛选有效表达情感的声学特征对语音情感研究至关重要。对具有相同或相似声学特征的情感,声学研究中仅使用基频和时长无法有效区分。本研究扩大声学参数的种类和数量,使用三种机器学习方法,筛选出区分情感类型的多组有效声学参数,补充和完善语音情感声学研究的声学特征集。研究发现,区分不同情感所依赖的声学参数、参数数量、参数贡献都不相同,其中频谱和信噪参数发挥重要作用。本研究为语音情感声学分析的参数选择提供参考。''"
}