A model trained to transcribe Hindi speech into text, utilizing the wav2vec architecture.
IndicWav2Vec-Hindi is an Automatic Speech Recognition (ASR) model designed to transcribe Hindi speech into text. Based on the wav2vec architecture, it is trained on a diverse set of Hindi audio data to accurately capture the nuances of spoken Hindi. This model facilitates the development of applications requiring speech-to-text conversion, such as voice assistants, transcription services, and accessibility tools for the Hindi-speaking population.
MIT
AI4Bharat
Automatic Speech Recognition Model
N.A.
Open
Sector Agnostic
21/02/25 13:21:16
0
MIT
© 2026 - Copyright AIKosh. All rights reserved. This portal is developed by National e-Governance Division for AIKosh mission.