Holdings Information

Bibliographic Record Display

• Title:First DIHARD challenge evaluation : nine sources / Linguistic Data Consortium.
  
• ISBN:1585638900
  
• Publication:[Philadelphia, PA] : [Linguistic Data Consortium], [2019]
  
• Physical Description:1 online resource
  
• Links:Online dataset
  Documentation
  

• Yale Holdings

  Holdings Record Display

  • Location:Yale Internet Resource
    Information about Off Campus Access
    
    
  • Call Number: None
    
  • Status:No information available 
  • Notes: Online resource
    

   
• Local Notes:Access is available to the Yale community.
  
• Notes:Applications: speech activity detection, diarization.
  Authors: Neville Ryant, Mark Liberman, James Fiumara, Christopher Cieri.
  Data type: software, sound, text.
  Data source: microphone speech, broadcast conversation, meeting speech, web collection.
  Applications: diarization, speech activity detection.
  LDC number: LDC2019S12.
  In English and Mandarin Chinese.
  Title from resource home page (LDC website, viewed September 28, 2020).
  
• Access and use:Access restricted by licensing agreement.
• Summary:"First DIHARD Challenge Evaluation - Nine Sources was developed by the Linguistic Data Consortium (LDC) and contains approximately 18 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 Evaluation - SEEDLingS (LDC2019S13), contains the evaluation set audio data and annotation as well as the official scoring tool. The development data for the First DIHARD Challenge is also available from LDC as Eight Sources (LDC2019S09) and SEEDLingS (LDC2019S10). 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 are in the included documentation." --LDC online catalog.
  
• Format:Nonmusical Sound Recording
• Subjects:English language--Spoken English--Data processing.
  Chinese language--Spoken Chinese--Data processing.
  English language--Discourse analysis.
  Chinese language--Discourse analysis.
  Speaker diarization.
  Conversation--Data processing.
  Automatic speech recognition.
  Computational linguistics.
  Audio data mining.
  Text data mining.
  Corpora (Linguistics).
  
• Genre/Form:Data sets.
  Sound recordings.
  Speech corpora.
  Text corpora.
  
• Also listed under:Ryant, Neville, creator.
  Linguistic Data Consortium, issuing body.