S2T Small Librispeech ASR is an open-source speech-to-text model published by Facebook (Meta) and trained on the LibriSpeech corpus. It uses a sequence-to-sequence transformer architecture to perform automatic speech recognition, primarily for English audio. The model is available on Hugging Face for developers to integrate into transcription pipelines, run locally, or fine-tune for domain-specific audio recognition tasks.
S2t Small Librispeech Asr is a Voice, TTS & speech product. It focuses on converting English audio speech from books or readings into accurate text transcripts. S2t Small Librispeech Asr is an open-source project aimed at developers. The project is open source (MIT). It runs on the web, the command line, and API, and it can be self-hosted.
It is developed by Facebook, and the product first shipped in 2017. The GitHub repository has been archived. Among its 3 catalogued features are automatic speech recognition, libriSpeech pretrained, and transformer-based. It exposes integrations via a public API.
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