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The second dihard diarization challenge: Dataset, task, and baselines

Ryant, N and Church, K and Cieri, C and Cristia, A and Du, J and Ganapathy, S and Liberman, M (2019) The second dihard diarization challenge: Dataset, task, and baselines. In: 20th Annual Conference of the International Speech Communication Association: Crossroads of Speech and Language, INTERSPEECH 2019, 15 - 19 September 2019, Graz, pp. 978-982.

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Official URL: https://doi.org/10.21437/Interspeech.2019-1268

Abstract

This paper introduces the second DIHARD challenge, the second in a series of speaker diarization challenges intended to improve the robustness of diarization systems to variation in recording equipment, noise conditions, and conversational domain. The challenge comprises four tracks evaluating diarization performance under two input conditions (single channel vs. multi-channel) and two segmentation conditions (diarization from a reference speech segmentation vs. diarization from scratch). In order to prevent participants from overtuning to a particular combination of recording conditions and conversational domain, recordings are drawn from a variety of sources ranging from read audiobooks to meeting speech, to child language acquisition recordings, to dinner parties, to web video. We describe the task and metrics, challenge design, datasets, and baseline systems for speech enhancement, speech activity detection, and diarization.

Item Type: Conference Paper
Publication: Proceedings of the Annual Conference of the International Speech Communication Association, INTERSPEECH
Publisher: International Speech Communication Association
Additional Information: The copyright for this article belongs to the Authors.
Keywords: Conversational speech; DIHARD challenge; Noise; Robust ASR; Speaker diarization; Speaker recognition
Department/Centre: Division of Electrical Sciences > Electrical Engineering
Date Deposited: 27 Oct 2022 05:39
Last Modified: 27 Oct 2022 05:39
URI: https://eprints.iisc.ac.in/id/eprint/77585

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