Multimodal emotion recognition on two benchmark datasets RAVDESS and SAVEE from audio-visual information using CNN(Convolutional Neural Networks)
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Sep 11, 2021 - Jupyter Notebook
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audio-visual-features
Here are 3 public repositories matching this topic...
deep_video_extraction is a powerful repository designed to extract deep feature representations from video inputs using pre-trained models. With support for both visual and aural features from videos. Additionally, you can process audio separately by converting it into spectrograms.
computer-vision deep-learning pytorch video-processing feature-extraction object-recognition audio-processing deep-feature-extraction video-features pre-trained-model spectogram audio-visual-features multimedia-analysis
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Aug 9, 2024 - Python
Official Codebase of "Audio-visual Generalized Zero-shot Learning the Easy Way" (ECCV 2024)
zero-shot-learning generalized-zero-shot-learning audio-visual-correspondence audio-visual-learning audio-visual-features
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Sep 26, 2024
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