# Multi-dialect robustness

An automatic speech recognition (ASR) model fine-tuned on the Common Voice 7 Assamese (AS) dataset based on Facebook's wav2vec2-xls-r-300m model

This is an automatic speech recognition model fine-tuned on the Armenian speech dataset based on facebook/wav2vec2-xls-r-300m

Automatic speech recognition model fine-tuned on Yakut (SAH) dataset based on facebook/wav2vec2-xls-r-300m

An automatic speech recognition model fine-tuned on the Common Voice 8 dataset based on facebook/wav2vec2-xls-r-300m, supporting Basque (bas).

Assamese (Assamese) speech recognition model fine-tuned on the Common Voice 8.0 dataset based on facebook/wav2vec2-xls-r-300m

This is an automatic speech recognition (ASR) model fine-tuned on Kyrgyz speech datasets based on the facebook/wav2vec2-xls-r-300m model

This model is an automatic speech recognition model fine-tuned on the Kurmanji Kurdish dataset based on facebook/wav2vec2-xls-r-300m.

This is an Erzya speech recognition model fine-tuned on the MOZILLA-FOUNDATION/COMMON_VOICE_8_0 - MYV dataset, based on facebook/wav2vec2-xls-r-300m.

This is an automatic speech recognition model fine-tuned on the Slovenian language dataset (MOZILLA-FOUNDATION/COMMON_VOICE_8_0 - SL) based on the facebook/wav2vec2-xls-r-300m model.

This model is an automatic speech recognition model fine-tuned on the Common Voice 8.0 Urdu dataset based on facebook/wav2vec2-large-xlsr-53

This is an automatic speech recognition (ASR) model fine-tuned on Kazakh (KK) speech datasets based on the facebook/wav2vec2-xls-r-300m model.

This model is an automatic speech recognition (ASR) model fine-tuned on the Erzya language (MYV) dataset based on facebook/wav2vec2-xls-r-300m, achieving a 65.15% word error rate (WER) on the Common Voice 8 test set.

An automatic speech recognition model fine-tuned on the Nynorsk (NN) speech dataset based on facebook/wav2vec2-xls-r-1b