First DIHARD Challenge Development - Eight Sources, Linguistic Data Consortium (LDC) Catalog Number LDC2019S09 and ISBN 1-58563-887-0, was developed by LDC and contains approximately 17 hours of English and Chinese speech data along with corresponding annotations used in support of the First DIHARD Challenge.
The First DIHARD Challenge was an attempt to reinvigorate work on diarization through a shared task focusing on "hard" diarization; that is, speech diarization for challenging corpora where there was an expectation that existing state-of-the-art systems would fare poorly. As such, it included speech from a wide sampling of domains representing diversity in number of speakers, speaker demographics, interaction style, recording quality, and environmental conditions, including, but not limited to: clinical interviews, extended child language acquisition recordings, YouTube recordings, and conversations collected in restaurants.
This release, when combined with First DIHARD Challenge Development - SEEDLingS (LDC2019S10), contains the development set audio data and annotation as well as the official scoring tool. The evaluation data for the First DIHARD Challenge is also available from LDC as Nine Sources (LDC2019S12) and SEEDLingS (LDC2019S13).
The source data was drawn from the following (all sources are in English unless otherwise indicated):
All audio is provided in the form of 16 kHz, mono-channel FLAC files. The diarization for each recording is stored as a NIST Rich Transcription Time Marked (RTTM) file. RTTM files are space-separated text files containing one turn per line. Segmentation files are stored as HTK label files. Each of these files contains one speech segment per line. Both of the annotation file types are encoded as UTF-8. More information about the file formats and data sources are in the included documentation.
Please see file.tbl for a complete file list as well as checksums for this publication.
Additional information, updates, bug fixes may be available in the LDC catalog entry for this corpus at LDC2019S09.
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