ddlBoJack/emotion2vec

Health v2 · maintenance only

Flags: no_releases no_license

Adoption not part of the score

1179 stars · 89 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

Official PyTorch implementation of emotion2vec, a self-supervised pre-trained model for speech emotion representation. It provides code for extracting emotion features from speech and training downstream speech emotion recognition models, with pretrained checkpoints available via ModelScope, Hugging Face, and FunASR.

Use cases

• extract emotion embeddings from speech audio
• train a speech emotion recognition classifier
• fine-tune a pretrained emotion recognition model on my dataset
• recognize 9-class emotions from audio recordings
• get speech emotion features for downstream tasks
• run emotion2vec through FunASR or ModelScope

When to choose

• you need state-of-the-art speech emotion recognition features or models
• you want a self-supervised speech emotion encoder to fine-tune
• you work with IEMOCAP-style SER benchmarks or research
• you prefer loading models through FunASR, ModelScope, or Hugging Face

When to avoid

• you need general speech recognition (ASR) rather than emotion analysis
• you need a production service with a REST API out of the box
• you require a permissive license guarantee - the repo has no explicit license file
• you need non-Linux platform support or Windows-specific tooling

Facets

library · maturity active

speech-recognition machine-learning audio-processing nlp speech-processing machine-learning deep-learning python speech-emotion-recognition self-supervised-learning pytorch pretrained-models feature-extraction funasr iemocap research-code audio linux

Member repositories

For agents

markdown · JSON · MCP: product_card(name="ddlBoJack/emotion2vec")