Dataset · Hugging Face

REAL-TSE/REAL-T

Name: REAL-T
Creator: REAL-TSE
License: cc-by-sa-4.0
Keywords: task_categories:audio-to-audio, language:en, language:zh, license:cc-by-sa-4.0, size_categories:1K<n<10K, format:audiofolder, modality:audio, library:datasets, library:mlcroissant, arxiv:2607.15198, region:us, audio, speech, target-speaker-extraction

REAL-T: Real Conversational Mixtures for Target Speaker Extraction REAL-T is a conversation-centric benchmark for target speaker extraction (TSE) in real meetings and dinner-party recordings. Unlike simulated stacks such as LibriMix, the mixtures are cut from naturally overlapping speech, with enrollment clips taken from non-overlapping regions of the same conversations. This package contains the DEV, EVAL1, and EVAL2 splits used by the REAL-TSE Challenge (a satellite challenge… See the full description on the dataset page: https://huggingface.co/datasets/REAL-TSE/REAL-T.

View on Hugging FaceReport an issue

Author / organization	REAL-TSE
License (as declared)	cc-by-sa-4.0
Downloads	1.7K (as reported by Hugging Face)
Likes	3
Created	23 August 2026
Last updated at source	24 August 2026

audiospeechtarget-speaker-extraction

Embed this entry

<iframe src="https://silytics.si/embed/item/ff7798f0-b26c-4b04-b4a7-a387bdb487d8" width="420" height="190" style="border:0" loading="lazy" title="Silytics entry"></iframe>

Free, no tracking. More about feeds and embeds.

Popularity, last 3 days

1,696 now (+22 since 2026-10-16). Counts as reported by the source, snapshotted daily by Silytics.

Silytics shows public metadata from Hugging Face and links to the original. Information may be incomplete or out of date. Last refreshed 18 October 2026. Licenses and terms of the original apply to the work itself. Not financial, legal or professional advice.