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MediaSpeech

Introduced by Rostislav Kolobov et al. in MediaSpeech: Multilanguage ASR Benchmark and Dataset30 Mar 2021 archive 2025-07-28

MediaSpeech is a media speech dataset (you might have guessed this) built with the purpose of testing Automated Speech Recognition (ASR) systems performance. The dataset consists of short speech segments automatically extracted from media videos available on YouTube and manually transcribed, with some pre- and post-processing. The dataset contains 10 hours of speech for each language provided. This release contains audio datasets in French, Arabic, Turkish and Spanish, and is a part of a larger private dataset.

Source: MediaSpeech: Multilanguage ASR Benchmark and Dataset

Benchmarks archive 2025-07-28

All 1 leaderboard whose dataset resolves to this page shown (sort by any header). "First row" is the archive's own first row at snapshot, in the archive's row order; nothing here re-ranks and metric direction is not asserted.

First row (archive order)PaperCode
Speech Recognition MediaSpeech Quartznet WER for Arabic 0.1300 MediaSpeech: Multilanguage ASR Benchmark and Dataset NTRLab/MediaSpeech 8 Compare

Papers archive 2025-07-28

1 shown of 1 paper with a leaderboard row on this dataset's benchmarks, newest first. The archive's own "papers using this dataset" list was never published, so this is the benchmark-backed subset; the archive's count for this dataset is 5. The Syntology column is from Syntology's graph (read 2026-09-24), stated per sample; it is not part of any archive number.

DateSamples run Syntology
MediaSpeech: Multilanguage ASR Benchmark and Dataset 1 8 30 Mar 2021 not harvested

Dataset loaders archive 2025-07-28

No loader listed in the archive.

Tasks archive 2025-07-28

License archive 2025-07-28

CC BY 4.0

Modalities archive 2025-07-28

Languages archive 2025-07-28

Variants archive 2025-07-28

  • MediaSpeech

1 variant name, as the archive lists them.

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