Automatic Speech Recognition
Mulubrhan Abebe
• Successfully designed and developed a highly accurate ASR model specifically tailored for the Amharic language.
• Acquired, cleaned, and curated a comprehensive dataset of Amharic audio recordings, essential for model training.
• Implemented the ASR model using deep learning techniques and open-source frameworks.
• Deployed the ASR model for real-time transcription and integrated it into an Amharic audio search system.
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Posted Apr 30, 2024
Developing an Automatic Speech Recognition (ASR) model for the Amharic language and achieving a good accuracy.
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Multilingual Machine Translation
Audio Search Engine
