# End-to-end speech-to-text

A speech recognition model fine-tuned on mixed-language datasets based on Facebook's wav2vec2-xls-r-300m model, supporting Malay, Singaporean English, and Mandarin.

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

This model is a fine-tuned version of facebook/wav2vec2-large-xlsr-53 on the Common Voice dataset for Hindi speech recognition tasks.

This is an automatic speech recognition (ASR) model fine-tuned on the Georgian language based on the facebook/wav2vec2-large-xlsr-53 model, trained using the Common Voice dataset.

This model is a fine-tuned version of facebook/wav2vec2-xls-r-300m on the Common Voice dataset for Abkhaz automatic speech recognition tasks.

Wav2Vec2 Base is an automatic speech recognition model pre-trained and fine-tuned on 16kHz sampled LibriSpeech audio for 100 hours.

A Lithuanian speech recognition model fine-tuned from Facebook's XLSR-53 large model, trained on the Common Voice dataset with a test WER of 56.55%.

This is an automatic speech recognition model based on a sequence-to-sequence architecture, capable of converting speech into text.