# End-to-End ASR

Nue ASR is an end-to-end Japanese speech recognition model that integrates pre-trained speech and language models, offering high accuracy and fast recognition speed.

An automatic speech recognition model based on the SpeechBrain framework, using a Conformer encoder and Transformer decoder, trained on the LibriSpeech dataset, supporting English speech recognition.

English speech recognition model fine-tuned on the timit_asr dataset for the ascend model

A speech recognition model fine-tuned on the TIMIT dataset based on facebook/wav2vec2-base, with a Word Error Rate (WER) of 0.3382

An automatic speech recognition model fine-tuned on Marathi datasets based on facebook/wav2vec2-xls-r-300m

Wav2Vec2 base version speech recognition model trained on 100 hours of LibriSpeech data