DL Based Speech to Text Converter for Audio Visual Applications
Rekha Kulkarni, Mukta Takalikar, Nikhil Awatade, Ameya Bhalgat · 2023
In the digital era, Speech recognition and Text conversion has become a prominent research field with numerous applications. The accurate recognition of speech and quick conversion possess number of challenges like accent, mixed words, variation in pronunciation etc. The proposed system leverages the power of machine learning algorithms to accurately recognize speech and convert it into text in real time. The system is trained using the ML modules like speech recognition, moviepy etc. Overall, our work demonstrates the potential of machine learning-based approaches for speech recognition and text conversion and highlights the need for further research in this area to address the challenges and limitations of existing systems.