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Speech Emotion Recognition With Openai Whisper Large V3
Apache-2.0
本项目利用Whisper模型实现语音情感识别，能够将音频分类为快乐、悲伤、惊讶等不同情感类别。
音频分类
Transformers
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Vit Facial Expression Recognition
基于ViT架构的面部表情识别模型，在imagefolder数据集上微调，准确率达91.77%
人脸相关 Transformers
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Facial Expression Detection
基于预训练模型微调的面部表情识别模型，能有效识别八种不同面部表情。
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Wav2vec2 Audio Emotion Classification
Apache-2.0
基于facebook/wav2vec2-base微调的音频情感分类模型，用于分析语音中的情感状态
音频分类 Transformers
TransformersW
dhanush23
15
0
Wav2vec2 Audio Emotion Classification
Apache-2.0
基于facebook/wav2vec2-base微调的音频情感分类模型，在评估集上准确率达73.98%
音频分类 Transformers
TransformersW
chin-may
77
5
Emotion Diarization Wavlm Large
Apache-2.0
使用WavLM Large模型进行微调，用于语音情感识别和说话人日志分析，支持多种情感分类
音频分类 英语
E
speechbrain
1,128
52
Resnet 50 Finetuned FER2013 0.003 CKPlus
Apache-2.0
基于ResNet-50架构微调的面部表情识别模型，在FER2013和CKPlus数据集上训练
人脸相关 Transformers
TransformersR
Celal11
29
0
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