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Emotion Recognition for Urdu Speech to Text Conversion

Our project focuses on developing a system for emotion recognition in urdu language along with speech to text conversion using different machine learning algorithms.Our project analyzes the emotional content in real-time and identify emotions such as happy, sad, fear, excited, etc., and convert the recognized speech into text. The project has potential applications in areas such as customer feedback analysis in call center industries and healthcare for the deaf community. It seeks to contribute to the advancement in emotion recognition and speech processing technology specifically for the Urdu language.

Keywords: Emotion Recognition, speech to text conversion, machine learning algorithms, Emotion detection, Urdu language.
Tools: Machine learning algorithms.
Department: Department of Electrical Engineering

Project Team Members

Name Email
Almas Kiran kiran2019@namal.edu.pk
Hadiqa Bashir hadiqa2019@namal.edu.pk

Project Poster

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