ECAPA-TDNN Emotion Recognition

Emotion recognition model trained on IEMOCAP using ECAPA-TDNN architecture with wav2vec2 features.

Usage

from speechbrain.inference.interfaces import foreign_class

classifier = foreign_class(
    source="guyfeinberg/ecapa-emotion-v2",
    pymodule_file="payload.py",
    classname="Canary",
)

Training Details

  • Architecture: ECAPA-TDNN
  • Features: wav2vec2 + Fbank (80 mel bins)
  • Dataset: IEMOCAP (4 classes: neutral, happy, sad, angry)
  • Epochs: 30
  • Optimizer: Adam (lr=0.001)

Citation

Research use only — Oligo Security.

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