Datasets › SMS-WSJ

SMS-WSJ (Spatialized Multi-Speaker Wall Street Journal)

Introduced by Lukas Drude et al. in SMS-WSJ: Database, performance measures, and baseline recipe for multi-channel source separation and recognition archive 2025-07-28

Spatialized Multi-Speaker Wall Street Journal (SMS-WSJ) consists of artificially mixed speech taken from the WSJ database, but unlike earlier databases this one considers all WSJ0+1 utterances and takes care of strictly separating the speaker sets present in the training, validation and test sets.

Source: SMS-WSJ: Database, performance measures, and baseline recipe for multi-channel source separation and recognition

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Benchmarks archive 2025-07-28

No leaderboard in the archive resolves to this dataset.

Papers archive 2025-07-28

No paper in the archive has a leaderboard row on this dataset; the archive counts 14 papers for it but never published that list.

Dataset loaders archive 2025-07-28

fgnt/sms_wsj

1 loader as listed in the archive; links are outbound and not re-checked here.

Tasks archive 2025-07-28

Speech Recognition Audio Source Separation

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

No modality tagged.

Languages archive 2025-07-28

No language tagged.

Variants archive 2025-07-28

SMS-WSJ

1 variant name, as the archive lists them.

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