MELD
by SenticNet group / NUS
Multimodal emotion corpus from Friends TV show — conversational emotion recognition.
TL;DR
Multimodal emotion corpus from Friends TV show — conversational emotion recognition.
Best for conversational emotion recognition; multimodal (audio + video + text). Pricing: research-only.
Category
Open source
License
—
Stars
—
Last push
—
Pricing
research-only
Platforms
GitHub
What it is
MELD extends EmotionLines with audio + video from Friends TV show. 13k utterances across 7 emotion classes in conversation. Audio/video copyright-bound.
Best for: Conversational emotion recognition; multimodal (audio + video + text).
Watch out for: GPL-3.0 metadata · audio-visual content from Friends TV show is COPYRIGHTED · research-only fair-use claim. Cite: Poria et al., ACL 2019.
Watch out for: GPL-3.0 metadata · audio-visual content from Friends TV show is COPYRIGHTED · research-only fair-use claim. Cite: Poria et al., ACL 2019.
Install / use
git clone https://github.com/declare-lab/MELD
Features
| Speaker diarization | Yes |
| Word-level timestamps | No |
| Streaming / real-time | No |
| Languages supported | 1 |
| HIPAA eligible | No |
MELD vs Whipscribe
| Feature | MELD | Whipscribe |
|---|---|---|
| Category | Open source | Transcription APIs |
| Pricing | research-only | free beta |
| Speaker diarization | Yes | Yes |
| Word timestamps | No | Yes |
| Streaming | No | No |
| Languages | 1 | 99 |
| Platforms | GitHub | Web, API, MCP |
Alternatives to MELD
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