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Automatic Speech Recognition (ASR) datasets
archive 2025-07-28
34 datasets carry the task tag "Automatic Speech Recognition (ASR)" (the task itself: Automatic Speech Recognition (ASR)), ordered by the archive's paper count. Page 1 of 1: 34 shown of 34. Facet routes are this site's own (the archive records the tag string, not a page).
The archive holds 12,214 dataset rows; 12,172 are listed. 6 are withheld from every listing and count here as vandalised before snapshot (6 with contact-centre spam in the title, 0 with a spam description on a row that has no homepage, no paper and no papers counted; none with more than 1 paper, 0 with a benchmark), listed in withheld.json; 1 listed row carries a vandalised description, withheld on its page. This gate never withholds a row with a homepage or a paper that resolves, and a clean description; the content rules below withhold a row whose name is spam whatever else it carries. The gate is a phrase list: these are the rows it caught, not a claim that the rest is clean. Before that gate, the site's content rules withhold 36 more rows (invite-code, gambling, travel-booking, contact-centre and similar spam in the name or on a row with nothing real behind it); they have no page and are listed in withheld.json.
Filter 51 task tags shown of 3,717, by dataset count; the full filter by modality, task and language is on /datasets
Automatic Speech Recognition (ASR) datasets 1–34 of 34
FLEURS (Few-shot Learning Evaluation of Universal Representations of Speech)
We introduce FLEURS, the Few-shot Learning Evaluation of Universal Representations of Speech benchmark.
141 papers · 1 benchmark
LRS2 (Lip Reading Sentences 2)
The Oxford-BBC Lip Reading Sentences 2 (LRS2) dataset is one of the largest publicly available datasets for lip reading sentences in-the-wild.
115 papers · 10 benchmarks
VoxPopuli is a large-scale multilingual corpus providing 100K hours of unlabelled speech data in 23 languages.
113 papers · 1 benchmark
LRS3-TED is a multi-modal dataset for visual and audio-visual speech recognition.
63 papers · 7 benchmarks
The REVERB (REverberant Voice Enhancement and Recognition Benchmark) challenge is a benchmark for evaluation of automatic speech recognition techniques.
55 papers · 1 benchmark
The MagicData-RAMC corpus contains 180 hours of conversational speech data recorded from native speakers of Mandarin Chinese over mobile phones with a sampling rate of 16 kHz.
12 papers · 0 benchmarks
RealMAN (A Real-Recorded and Annotated Microphone Array Dataset for Dynamic Speech Enhancement and Localization)
The Audio Signal and Information Processing Lab at Westlake University, in collaboration with AISHELL, has released the Real-recorded and annotated Microphone Array speech&Noise (RealMAN) dataset, which provides annotated multi-channel…
5 papers · 2 benchmarks
EdAcc (Edinburgh International Accents of English Corpus)
The Edinburgh International Accents of English Corpus (EdAcc) is a new automatic speech recognition (ASR) dataset composed of 40 hours of English dyadic conversations between speakers with a diverse set of accents.
4 papers · 0 benchmarks
ITALIC: An ITALian Intent Classification Dataset ITALIC is an intent classification dataset for the Italian language, which is the first of its kind.
4 papers · 0 benchmarks
SpeechInstruct is a large-scale cross-modal speech instruction dataset.
4 papers · 0 benchmarks
ArzEn (Corpus of Egyptian Arabic-English Code-switching)
Corpus of Egyptian Arabic-English Code-switching (ArzEn) is a spontaneous conversational speech corpus, obtained through informal interviews held at the German University in Cairo.
3 papers · 0 benchmarks
The data set contains several speakers.
3 papers · 2 benchmarks
NusaCrowd is a collaborative initiative to collect and unite existing resources for Indonesian languages, including opening access to previously non-public resources.
3 papers · 0 benchmarks
ESB (End-to-End Speech Benchmark)
ESB is a benchmark for evaluating the performance of a single automatic speech recognition (ASR) system across a broad set of speech datasets.
2 papers · 0 benchmarks
Jam-ALT (JamALT: A Formatting-Aware Lyrics Transcription Benchmark)
JamALT is a revision of the JamendoLyrics dataset (80 songs in 4 languages), adapted for use as an automatic lyrics transcription (ALT) benchmark.
2 papers · 5 benchmarks
NPSC (Norwegian Parliamentary Speech Corpus)
The Norwegian Parliamentary Speech Corpus (NPSC) is a speech corpus made by the Norwegian Language Bank at the National Library of Norway in 2019-2021.
2 papers · 0 benchmarks
OpenSLR (Open Speech and Language Resources)
OpenSLR is a repository of open speech and language resources, including large-scale transcribed audio corpora and related software.
2 papers · 1 benchmark
A Brazilian Portuguese TTS dataset featuring a female voice recorded with high quality in a controlled environment, with neutral emotion and more than 20 hours of recordings.
1 paper · 0 benchmarks
A database containing high sampling rate recordings of a single speaker reading sentences in Brazilian Portuguese with neutral voice, along with the corresponding text corpus.
1 paper · 0 benchmarks
IMaSC (ICFOSS Malayalam Speech Corpus)
IMaSC is a Malayalam text and speech corpus made available by ICFOSS for the purpose of developing speech technology for Malayalam, particularly text-to-speech.
1 paper · 0 benchmarks
The M-AILABS Speech Dataset is the first large dataset that we are providing free-of-charge, freely usable as training data for speech recognition and speech synthesis.
1 paper · 1 benchmark
OpenSpeaks Voice: Odia is a large speech dataset in the Odia language of India that is stewarded by Subhashish Panigrahi and is hosted at the O Foundation.
1 paper · 0 benchmarks
Speech Recognition Dataset for Oromo Language.
1 paper · 1 benchmark
Dataset Summary Speech Brown is a comprehensive, synthetic, and diverse paired speech-text dataset in 15 categories, covering a wide range of topics from fiction to religion.
1 paper · 0 benchmarks
The SWC is a corpus of aligned Spoken Wikipedia articles from the English, German, and Dutch Wikipedia.
1 paper · 1 benchmark
This is the forehead accelerometer variant of the VibraVox dataset.
1 paper · 3 benchmarks
This is the reference headset microphone variant of the VibraVox dataset.
1 paper · 2 benchmarks
This is the in-ear rigid earpiece-embedded microphone variant of the VibraVox dataset.
1 paper · 3 benchmarks
This is the in-ear comply foam-embedded microphone variant of the VibraVox dataset.
1 paper · 3 benchmarks
This is the temple vibration pickup variant of the VibraVox dataset.
1 paper · 3 benchmarks
This is the throat microphone (laryngophone) variant of the VibraVox dataset.
1 paper · 3 benchmarks
VoxForge is an open speech dataset that was set up to collect transcribed speech for use with Free and Open Source Speech Recognition Engines (on Linux, Windows and Mac).
1 paper · 1 benchmark
This open-source dataset consists of 5.04 hours of transcribed English conversational speech beyond telephony, where 13 conversations were contained.
0 papers · 0 benchmarks
This dataset was created for Fongbe automatic speech recognition task and contains about 3979 recordings of 13 participants reading a text written in Fongbe, one sentence at a time.
0 papers · 0 benchmarks
Paper counts and descriptions are the archive's, frozen 2025-07-28; no citation counts, no stars, no trending. Sorting by "most cited" or "newest" was a live-site feature the archive does not carry.