# LibriSpeech Optimized

s2t-small-librispeech-asr is a speech-to-text (S2T) model for automatic speech recognition (ASR), based on a sequence-to-sequence transformer architecture.

This model is a speech recognition model trained on the LibriSpeech ASR dataset, capable of converting speech to text.

A speech recognition model fine-tuned on the LIBRISPEECH_ASR-CLEAN dataset based on facebook/wav2vec2-large-lv60

SEW-D-base+ is an efficient speech recognition model developed by ASAPP Research, pre-trained on 16kHz sampled speech audio, and excels on the LibriSpeech dataset.

XLS-R-300M is an English automatic speech recognition model fine-tuned on the librispeech_asr dataset based on facebook/wav2vec2-xls-r-300m, achieving a word error rate of 12.29% on the LibriSpeech test set.