Datasets › HUI speech corpus

HUI speech corpus (Hof University iisys speech dataset)

Introduced by Pascal Puchtler et al. in HUI-Audio-Corpus-German: A high quality TTS dataset11 Jun 2021 archive 2025-07-28

The data set contains several speakers. The 5 largest are listed individually, the rest are summarized as other. All audio files have a sampling rate of 44.1kHz. For each speaker, there is a clean variant in addition to the full data set, where the quality is even higher. Furthermore, there are various statistics. The dataset can also be used for automatic speech recognition (ASR) if audio files are converted to 16 kHz.

Benchmarks archive 2025-07-28

All 2 leaderboards 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
Automatic Speech Recognition (ASR) HUI speech corpus Conformer Transducer WER (%) 1.89% Automatic Speech Recognition in German: A Detailed Error Analysis — 1 Compare
Text-To-Speech Synthesis HUI speech corpus Tacotron 2 Mean Opinion Score 3.74 Neural Speech Synthesis in German — 1 Compare

Papers archive 2025-07-28

2 shown of 2 papers 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 3. 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
Automatic Speech Recognition in German: A Detailed Error Analysis 0 1 3 Aug 2022 not harvested
Neural Speech Synthesis in German 0 1 3 Oct 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

Creative Commons BY-SA 4.0

Modalities archive 2025-07-28

Languages archive 2025-07-28

Variants archive 2025-07-28

  • HUI speech corpus

1 variant name, as the archive lists them.

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