Datasets › WHAMR!

WHAMR! (WHAM! with synthetic reverberated sources)

Introduced in WHAMR!: Noisy and Reverberant Single-Channel Speech Separation22 Oct 2019 archive 2025-07-28

WHAMR! is a dataset for noisy and reverberant speech separation. It extends WHAM! by introducing synthetic reverberation to the speech sources in addition to the existing noise. Room impulse responses were generated and convolved using pyroomacoustics. Reverberation times were chosen to approximate domestic and classroom environments (expected to be similar to the restaurants and coffee shops where the WHAM! noise was collected), and further classified as high, medium, and low reverberation based on a qualitative assessment of the mixture’s noise recording.

Benchmarks archive 2025-07-28

All 3 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.

Papers archive 2025-07-28

17 shown of 17 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 57. 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
TF-Locoformer: Transformer with Local Modeling by Convolution for Speech Separation and Enhancement 1 2 6 Aug 2024 not harvested
Separate and Reconstruct: Asymmetric Encoder-Decoder for Speech Separation 1 1 10 Jun 2024 not harvested
On Time Domain Conformer Models for Monaural Speech Separation in Noisy Reverberant Acoustic Environments 1 4 9 Oct 2023 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)
Deformable Temporal Convolutional Networks for Monaural Noisy Reverberant Speech Separation 2 2 27 Oct 2022 not harvested
Utterance Weighted Multi-Dilation Temporal Convolutional Networks for Monaural Speech Dereverberation 1 1 17 May 2022 not harvested
Receptive Field Analysis of Temporal Convolutional Networks for Monaural Speech Dereverberation 1 1 13 Apr 2022 not harvested
Exploring Self-Attention Mechanisms for Speech Separation 1 1 6 Feb 2022 not harvested
Stepwise-Refining Speech Separation Network via Fine-Grained Encoding in High-order Latent Domain 0 2 10 Oct 2021 not harvested
Compute and memory efficient universal sound source separation 3 1 3 Mar 2021 not harvested
Sudo rm -rf: Efficient Networks for Universal Audio Source Separation 4 1 14 Jul 2020 ran 1 of 10 samples (9 unverified)
Phase-aware Single-stage Speech Denoising and Dereverberation with U-Net 1 2 1 Jun 2020 not harvested
Voice Separation with an Unknown Number of Multiple Speakers 4 1 29 Feb 2020 ran 10 of 13 samples (3 unverified; 9 pointer-only for licence)
Wavesplit: End-to-End Speech Separation by Speaker Clustering 0 1 20 Feb 2020 not harvested
WHAM!: Extending Speech Separation to Noisy Environments 1 1 2 Jul 2019 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)
Dual-Signal Transformation LSTM Network for Real-Time Noise Suppression 2 1 ran 0 of 4 samples (4 unverified)

Dataset loaders archive 2025-07-28

No loader listed in the archive.

Tasks archive 2025-07-28

License archive 2025-07-28

No licence recorded in the archive. Absence here is not a statement about the dataset's terms.

Modalities archive 2025-07-28

Languages archive 2025-07-28

Variants archive 2025-07-28

  • WHAMR!

1 variant name, as the archive lists them.

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