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- speech-emotion-recognition
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- dkounadis
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Tecaher model based on [Wavlm](https://huggingface.co/3loi/SER-Odyssey-Baseline-WavLM-Multi-Attributes) and [wav2vec2](https://hf.rst.im/audeering/wav2vec2-large-robust-12-ft-emotion-msp-dim) for arousal
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- speech-emotion-recognition
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- dkounadis
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Tecaher model based on [Wavlm](https://huggingface.co/3loi/SER-Odyssey-Baseline-WavLM-Multi-Attributes) and [wav2vec2](https://hf.rst.im/audeering/wav2vec2-large-robust-12-ft-emotion-msp-dim) for arousal/dominance/valence prediction.
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Achieves `0.6760566` valence CCC on [MSP-Podcast](https://ecs.utdallas.edu/research/researchlabs/msp-lab/MSP-Podcast.html) Test1.
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