SALT-Research/DeepDialogue-code
DeepDialogue: A Multi-Turn Emotionally-Rich Spoken Dialogue Dataset (code for SER Task)
This project provides code to analyze spoken dialogue and recognize emotions within it. By feeding in audio recordings of conversations, it can help researchers understand and classify the emotional content expressed across multiple turns of speech. It's designed for researchers studying speech, emotion, and human-computer interaction.
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Use this if you are a researcher who needs to analyze spoken conversations to detect and categorize emotions, using a pre-trained model or developing a new one.
Not ideal if you need an out-of-the-box application for real-time emotion detection in live conversations or a tool for general audio transcription.
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Python
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Last pushed
May 28, 2025
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