---
language: en
tags:
- speechbrain
- emotion-recognition
- wav2vec2
- audio-classification
- pytorch
license: apache-2.0
datasets:
- iemocap
metrics:
- accuracy
model-index:
- name: ecapa-tdnn-emotion
  results:
  - task:
      type: audio-classification
      name: Emotion Recognition
    dataset:
      name: IEMOCAP
      type: iemocap
    metrics:
    - type: accuracy
      value: 79.1
---

# ECAPA-TDNN Emotion Recognition

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

## Usage

```python
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.