audeering/w2v2-how-to
How to use our public wav2vec2 dimensional emotion model
This project helps you understand the emotional content of spoken audio. You input raw speech audio, and it outputs numerical values representing arousal, dominance, and valence (the three dimensions of emotion). This is useful for researchers and practitioners studying human emotion in speech.
542 stars. No commits in the last 6 months.
Use this if you need to analyze the emotional state expressed in speech, like in psychological studies or human-computer interaction research.
Not ideal if you need to detect specific discrete emotions (like 'happy' or 'sad') rather than continuous emotional dimensions.
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Last pushed
May 22, 2023
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