Datasets › ReVerb Challenge
ReVerb Challenge (REverberant Voice Enhancement and Recognition Benchmark)
The REVERB (REverberant Voice Enhancement and Recognition Benchmark) challenge is a benchmark for evaluation of automatic speech recognition techniques. The challenge assumes the scenario of capturing utterances spoken by a single stationary distant-talking speaker with 1-channe, 2-channel or 8-channel microphone-arrays in reverberant meeting rooms. It features both real recordings and simulated data.
The challenge constis of speech enhancement and automatic speech recognition tasks in reverberant environments. The speech enhancement challenge task consists of enhancing noisy reverberant speech with single-/multi-channel speech enhancement techniques, and evaluating the enhanced data in terms of objective and subjective evaluation metrics. The automatic speech recognition challenge task consists of improving the recognition accuracy of the same reverberant speech. The background noise is mostly stationary and the signal-to-noise ratio is modest.
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) | Paper | Code | ||||
|---|---|---|---|---|---|---|
| Question Answering | Reverb | Weakly Supervised Embeddings Accuracy 73% | Open Question Answering with Weakly Supervised Embedding Models | — | 2 | 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 55. The Syntology column is from Syntology's graph (read 2026-09-24), stated per sample; it is not part of any archive number.
| Date | Samples run Syntology | |||
|---|---|---|---|---|
| Large-scale Simple Question Answering with Memory Networks | 3 | 1 | 5 Jun 2015 | not harvested |
| Open Question Answering with Weakly Supervised Embedding Models | 0 | 1 | 16 Apr 2014 | not harvested |
Dataset loaders archive 2025-07-28
No loader listed in the archive.
Tasks archive 2025-07-28
License archive 2025-07-28
Modalities archive 2025-07-28
Languages archive 2025-07-28
Variants archive 2025-07-28
- Reverb
- ReVerb Challenge
2 variant names, as the archive lists them.
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