metadata
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
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.