# Language model independent

This is an automatic speech recognition model for Wolof, based on the wav2vec 2.0 architecture, trained on the DVoice dataset, supporting Wolof speech transcription.

A fine-tuned speech recognition model for the Romansh Vallader dialect based on facebook/wav2vec2-large-xlsr-53, achieving a word error rate of 32.89%

Automatic speech recognition model fine-tuned on Odia language based on Facebook's wav2vec2-large-xlsr-53 model

An Arabic automatic speech recognition model fine-tuned based on facebook/wav2vec2-large-xlsr-53, supporting 16kHz sampling rate audio input

An automatic speech recognition model fine-tuned on Dhivehi data from Common Voice, based on the facebook/wav2vec2-large-xlsr-53 model.