# LibriSpeech optimized

A speech-to-text (S2T) model for automatic speech recognition (ASR), based on a sequence-to-sequence transformer architecture

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

Based on Facebook's Wav2Vec2-Large-960h-lv60-self model, enhanced with an English 4-gram language model to improve speech recognition accuracy

Based on Facebook's Wav2Vec2-Base-960h model, with an added English 4-gram language model to improve automatic speech recognition (ASR) accuracy.

This model is an automatic speech recognition (ASR) model trained on the LibriSpeech ASR dataset, capable of converting English speech into text.

A speech-to-text (S2T) model for automatic speech recognition (ASR), based on a sequence-to-sequence transformer architecture

An automatic speech recognition model fine-tuned on the LIBRISPEECH_ASR - CLEAN dataset based on microsoft/wavlm-base-plus

Wav2Vec2 is a self-supervised learning-based speech recognition model developed by Facebook, trained on the LibriSpeech dataset, supporting English speech-to-text tasks.

An automatic speech recognition (ASR) model trained on the LibriSpeech dataset for converting English speech to text

An end-to-end sequence-to-sequence transformer model for automatic speech recognition (ASR), trained on the LibriSpeech dataset