# Lithuanian speech recognition

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

This model is a fine-tuned version of facebook/wav2vec2-large-xlsr-53 on the COMMON_VOICE - LT dataset for Lithuanian speech recognition.

This model is a fine-tuned automatic speech recognition model based on facebook/wav2vec2-xls-r-1b on Lithuanian dataset

This is a Lithuanian automatic speech recognition (ASR) model fine-tuned from Facebook's wav2vec2-large-xlsr-53 model, trained using the Common Voice dataset.

This is an automatic speech recognition (ASR) model fine-tuned on the Lithuanian Common Voice 7.0 dataset, based on the facebook/wav2vec2-xls-r-300m model.

This is a speech model based on Facebook's Wav2Vec2 architecture, specifically pretrained for Lithuanian using 14.4k unlabeled data from the VoxPopuli corpus.

An automatic speech recognition model fine-tuned for Lithuanian using the Common Voice dataset, based on the facebook/wav2vec2-large-xlsr-53 model.

A Lithuanian speech recognition model fine-tuned on the Common Voice dataset based on facebook/wav2vec2-large-xlsr-53

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%.