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'))
1 maintainer
Metadata
1 maintainer
Release files for ERL-Spanish 1.0.4
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| ERL-Spanish-1.0.4.tar.gz | 86.2 MB | Without provenance | Details |
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| File | Interpreter | ABI | Platform | Reset |
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| ERL_Spanish-1.0.4-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 172.4 MB
Release files / ERL-Spanish-1.0.4.tar.gz
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Release files / ERL_Spanish-1.0.4-py3-none-any.whl
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| Size | 86.2 MB |
| Tags | Python 3 |
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