hotelll / speech-emotion-recognition

这个项目将 RAVDESS 数据集切割成 1s 短语音，利用 openSMILE+CNN 进行训练，目标是将短语音分类到四种情感中，分别是：开心（happy）、悲伤（sad）、生气（angry）和中性（neutral）。最后准确率达到 76% 左右。

Date Created 2020-12-13 (3 years ago)

Commits 3 (last one 2 years ago)

Stargazers 51 (0 this week)

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RepositoryStats indexes 523,840 repositories, of these hotelll/speech-emotion-recognition is ranked #419,589 (20th percentile) for total stargazers, and #489,287 for total watchers. Github reports the primary language for this repository as Python, for repositories using this language it is ranked #77,612/100,813.

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deep-neural-network speech-emotion-recognition

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updated: 2024-05-30 @ 02:59pm, id: 321027002 / R_kgDOEyJ7ug