# Low WER model

This is a fine-tuned version of distil-whisper-large-v3, specifically designed for automatic speech recognition (ASR) of Brazilian Portuguese, trained by combining the Common Voice 16 dataset and a private dataset.

Indonesian automatic speech recognition (ASR) model fine-tuned on the XLSR architecture, trained on the Common Voice Indonesian dataset

This is an automatic speech recognition model fine-tuned on the Turkish Common Voice dataset based on Facebook's wav2vec2-large-xlsr-53 model.

Speech recognition model fine-tuned on Italian dataset based on facebook/wav2vec2-xls-r-300m

This is an automatic speech recognition model fine-tuned on the Swedish Common Voice dataset based on KBLab/wav2vec2-large-voxrex

This is an automatic speech recognition (ASR) model fine-tuned on Marathi based on the facebook/wav2vec2-large-xlsr-53 model, trained using partial data from the InterSpeech 2021 Marathi dataset.

A speech recognition model fine-tuned for Basque language using the Common Voice dataset, based on facebook/wav2vec2-large-xlsr-53.

A Galician automatic speech recognition (ASR) model fine-tuned from Facebook's wav2vec2-large-xlsr-53 model, achieving 16.79% WER on the OpenSLR 77 dataset

An Indonesian automatic speech recognition model fine-tuned from facebook/wav2vec2-large-xlsr-53, trained on the Common Voice Indonesian dataset with a test WER of 25.86%.

This is a Hindi automatic speech recognition (ASR) model based on the wav2vec2 architecture, trained on datasets like Common Voice.