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urdu-language-processing

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SameerKamani / Emotion-detection-from-audio-in-urdu

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This project detects emotions from Urdu speech using deep learning. It focuses on classifying emotions like anger, happiness, sadness, and neutrality, using models like Wav2Vec2.0. The aim is to advance sentiment analysis for underrepresented languages like Urdu, with applications in mental health, customer service, and user experience.

deep-learning sentiment-analysis speech-recognition audio-classification emotion-detection speech-emotion-recognition transformer-models urdu-language-processing
  • Updated Dec 16, 2024
  • Jupyter Notebook

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