🎙️ Persian Speech Emotion Recognition with SpeechBrain (ShEMO)
This repository provides an ECAPA-TDNN model for speech emotion recognition in Persian, developed using the SpeechBrain toolkit.
The model has been trained on the ShEMO dataset, which includes annotated emotional speech in Persian.
It leverages the ECAPA-TDNN architecture, commonly used in speaker recognition and emotion classification tasks.
from speechbrain.pretrained import EncoderClassifier
classifier = EncoderClassifier.from_hparams(source="mobina1380/speechbrain-persian-ser", savedir="tmpdir")
emotion = classifier.classify_file("your_audio.wav")
print(emotion)
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