The Second DISPLACE Challenge : DIarization of SPeaker and LAnguage in Conversational Environments
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Abstract (arXiv)
The DIarization of SPeaker and LAnguage in Conversational Environments (DISPLACE) 2024 challenge is the second in the series of DISPLACE challenges, which involves tasks of speaker diarization (SD) and language diarization (LD) on a challenging multilingual conversational speech dataset. In the DISPLACE 2024 challenge, we also introduced the task of automatic speech recognition (ASR) on this dataset. The dataset containing 158 hours of speech, consisting of both supervised and unsupervised mono-channel far-field recordings, was released for LD and SD tracks. Further, 12 hours of close-field mono-channel recordings were provided for the ASR track conducted on 5 Indian languages. The details of the dataset, baseline systems and the leader board results are highlighted in this paper. We have also compared our baseline models and the team's performances on evaluation data of DISPLACE-2023 to emphasize the advancements made in this second version of the challenge.
Key facts. Cited by 4 papers in the map (data through 7 Oct 2026). Builds on 19 of its 36 references that are in the map. First posted on arXiv 13 Jun 2024.
Builds on
19 of 36 references.
References · 19
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7 more
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Citing papers per year: 2025: 1; 2026: 3.
4 papers.
- 2025SAGE-LD: Towards Scalable and Generalizable End-to-End Language Diarization via Simulated Data Augmentationcited by 0
- 2026MUSCAT: MUltilingual, SCientific ConversATion Benchmarkcited by 0
- 2026Indic DiarBench: A Multilingual Joint Diarization and ASR Benchmark for Indian Languagescited by 0
- 2026MoLGE: Mixture of Language Group Experts for Efficient Scaling of Massively Multilingual Speech Recognitioncited by 0
- 2026MoLGE: Mixture of Language Group Experts for Efficient Scaling of Massively Multilingual Speech Recognition27 Jul 2026
- 2026Indic DiarBench: A Multilingual Joint Diarization and ASR Benchmark for Indian Languages26 Jul 2026
- 2026MUSCAT: MUltilingual, SCientific ConversATion Benchmark17 Apr 2026
- 2025SAGE-LD: Towards Scalable and Generalizable End-to-End Language Diarization via Simulated Data Augmentation1 Oct 2025