# wav2vec2 architecture

Japanese wav2vec 2.0 base model trained by rinna Co., Ltd., based on ReazonSpeech dataset

A Vietnamese automatic speech recognition model based on the wav2vec2 architecture, pre-trained on 13,000 hours of unlabeled YouTube audio and fine-tuned on 250 hours of labeled data.

This model is a fine-tuned speech intent classification model based on facebook/wav2vec2-conformer-rel-pos-large-960h-ft, achieving an accuracy of 58.33% on the evaluation set.

A French automatic speech recognition model fine-tuned based on the facebook/wav2vec2-large-fr-voxpopuli model, trained using the Common Voice 7.0 French dataset.

A Thai speech recognition model fine-tuned based on facebook/wav2vec2-large-lv60, trained using the Common Voice 7.0 dataset

This is an Urdu automatic speech recognition (ASR) model based on the wav2vec2 architecture, trained from scratch.

A Lithuanian automatic speech recognition model trained on the Common Voice dataset, implemented using the wav2vec2 architecture and fairseq framework.

An audio pre-training model based on self-supervised learning, capable of learning cross-lingual speech representations from raw audio of 23 Indian languages