ERL: Emotion Recognition Library
Project description
ERL: Emotion Recognition Library
ERL is a Python library that does emotion recognition through audio. With this library you can recognize emotions using audio signals, the text extracted from the audio or using both.
Installation
- Clone the source of this library:
https://github.com/estefaaa02/ERL.git
- Install library:
pip install -e .
Note:
- If using Windows download the PyAudio wheel for Windows and install it using
pip install
. - If using Linux install the PyAudio library using
pip install pyaudio
- If using Linux run
apt install libasound2-dev portaudio19-dev libportaudio2 libportaudiocpp0 ffmpeg
- By doing
pip install -e .
you are installing the necessary dependencies for the library to work
Emotion classification example
from ERL import PredictionsModule
print("Predicción Audio: ", PredictionsModule.predict_emotion_audio_svm('ERL/data/es/f_ans002aes.wav'))
print("Predicción Texto: ", PredictionsModule.predict_emotion_text_cnn('ERL/data/es/f_ans002aes.wav'))
print("Predicción Bimodal: ", PredictionsModule.predict_emotion_bimodal('ERL/data/es/f_ans002aes.wav'))
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ERL-Spanish-1.0.4.tar.gz
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