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transformer-cnn-emotion-recognition.py

transformer-cnn-emotion-recognition.py

 
 

README.md

transformer-cnn-emotion-recognition

Input

audio file

03-01-01-01-01-01-01.wav
RAVDESS Dataset
https://smartlaboratory.org/ravdess/

Output

emotion label

Emotion: neutral
Confidence: 0.99993193

Labels

"surprised", "neutral", "calm", "happy",
"sad", "angry", "fearful", "disgust"

Requirements

This model requires additional module.

pip3 install librosa

Usage

$ python3 transformer-cnn-emotion-recognition.py -i input.wav

Reference

Combining Spatial and Temporal Feature Representions of Speech Emotion by Parallelizing CNNs and Transformer-Encoders

Framework

PyTorch 1.6.0

Model Format

ONNX opset = 11

Netron

parallel_is_all_you_want_ep428.onnx.prototxt