Speech and audio datasets for transcription, voice interfaces, and multimodal RAG. Useful wherever spoken language is turned into text for retrieval.
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A collection of 1,000 hours of read English speech, released under CC BY 4.0 and stored using the open-source FLAC audio encoder. Labels are aligned at the sentence level. Derived from LibriVox public domain audiobooks, it is the standard benchmark for English automatic speech recognition.
An open dataset of 13,100 short audio clips of a single speaker reading passages from seven non-fiction books. Every clip is transcribed and clips run from 1 to 10 seconds. Released into the public domain, it is the standard single-speaker text-to-speech benchmark.
A crowdsourced speech platform from Mozilla that releases datasets under the CC0 licence. Volunteers read sentences aloud and other community members validate each recording. As of release 19.0 it holds 32,584 hours of speech across 131 languages, making it one of the largest openly licensed voice datasets available.
Open Speech and Language Resources, a hosting site for speech and language datasets, software, and models. It is the home of LibriSpeech and dozens of other language-specific speech corpora, making it a central catalogue for finding openly available voice data.
A large, freely licensed English speech recognition dataset from MLCommons, assembled from openly licensed sources and totalling more than 30,000 hours. Built as a permissively licensed alternative for training commercial automatic speech recognition systems.
An audio dataset of more than 100,000 utterances from over 7,000 speakers, extracted from interview videos uploaded to YouTube. Widely used for speaker recognition and verification. The annotations are CC BY 4.0, but the terms of the underlying source videos still apply.