# No Language Model Required

This is a Nepali speech recognition model based on the Wav2Vec2 architecture, supporting the conversion of Nepali speech to text.

This is an automatic speech recognition (ASR) model based on the Wav2Vec2 architecture, specifically designed for recognizing Dogri speech content.

This is a Gujarati speech recognition model based on the Wav2Vec2 architecture, capable of directly converting Gujarati speech into text.

A Fon speech recognition model fine-tuned from facebook/wav2vec2-large-xlsr-53, achieving a test WER of 14.97%

This is an Odia (Odia language) speech recognition model based on the Wav2Vec2 architecture, capable of converting Odia speech into text.

A Hindi speech recognition model based on the Wav2Vec2 architecture that directly transcribes audio into text.

A Kannada speech recognition model based on the Wav2Vec2 architecture, capable of directly converting Kannada speech into text.

This is a Urdu speech recognition model based on the Wav2Vec2 architecture, capable of converting Urdu speech into text.