Datasets › WHAM!
WHAM! (WSJ0 Hipster Ambient Mixtures)
The WSJ0 Hipster Ambient Mixtures (WHAM!) dataset pairs each two-speaker mixture in the wsj0-2mix dataset with a unique noise background scene. It has an extension called WHAMR! that adds artificial reverberation to the speech signals in addition to the background noise.
The noise audio was collected at various urban locations throughout the San Francisco Bay Area in late 2018. The environments primarily consist of restaurants, cafes, bars, and parks. Audio was recorded using an Apogee Sennheiser binaural microphone on a tripod between 1.0 and 1.5 meters off the ground.
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) | Paper | Code | ||||
|---|---|---|---|---|---|---|
| Speech Separation | WHAM! | SepReformer-L + DM SI-SDRi 18.4 | Separate and Reconstruct: Asymmetric Encoder-Decoder for... | dmlguq456/SepReformer | 6 | Compare |
| Speech Enhancement | WHAM! | SepFormer PESQ 3.07 | Exploring Self-Attention Mechanisms for Speech Separation | speechbrain/speechbrain | 1 | Compare |
Papers archive 2025-07-28
6 shown of 6 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 114. The Syntology column is from Syntology's graph (read 2026-09-25), stated per sample; it is not part of any archive number.
| Date | Samples run Syntology | |||
|---|---|---|---|---|
| Wanna hear your voice? A sample is all we need! | 0 | 1 | 1 Oct 2024 | not harvested |
| Separate and Reconstruct: Asymmetric Encoder-Decoder for Speech Separation | 1 | 1 | 10 Jun 2024 | not harvested |
| MossFormer: Pushing the Performance Limit of Monaural Speech Separation using Gated Single-Head Transformer with Convolution-Augmented Joint Self-Attentions | 2 | 1 | 23 Feb 2023 | ran 1 of 1 samples (0 unverified; 1 pointer-only for licence) |
| An efficient encoder-decoder architecture with top-down attention for speech separation | 1 | 2 | 30 Sep 2022 | ran 13 of 18 samples (5 unverified) |
| Exploring Self-Attention Mechanisms for Speech Separation | 1 | 1 | 6 Feb 2022 | not harvested |
| MossFormer2: Combining Transformer and RNN-Free Recurrent Network for Enhanced Time-Domain Monaural Speech Separation | 2 | 1 | ran 4 of 4 samples (0 unverified) |
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
- WHAMR!
- WHAM!
2 variant names, as the archive lists them.
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