1996 English Broadcast News Transcripts (HUB4)

Item Name: 1996 English Broadcast News Transcripts (HUB4)
Authors: David Graff and Jennifer Alabiso
LDC Catalog No.: LDC97T22
ISBN: 1-58563-149-3
Data Type: text
Data Source(s): broadcast news
Project(s): EARS, GALE, Hub4
Application(s): speech recognition
Language(s): English
Language ID(s): eng
Distribution: Web Download
Member fee: $0 for 1997, 1998 members
Non-member Fee: N/A (Members Only)
Reduced-License Fee: N/A
Extra-Copy Fee: N/A
Member License: yes
Online documentation: yes
Licensing Instructions: Subscription & Standard Members, and Non-Members
Citation: David Graff and Jennifer Alabiso
1996 English Broadcast News Transcripts (HUB4)
Linguistic Data Consortium, Philadelphia

LDC97S44 - Speech data LDC97S66 - Dev and eval LDC97T22 - Transcripts


The 1996 Broadcast News Speech Corpus contains a total of 104 hours of broadcasts from ABC, CNN, and CSPAN television networks and NPR and PRI radio networks with corresponding transcripts. The primary motivation for this collection is to provide training data for the DARPA "HUB4" Project on continuous speech recognition in the broadcast domain. The speech files are available in a 19 disc training data set with one additional disc of development data and an additional disc of evaluation data. The following programs are represented in this corpus:

  • ABC Nightline
  • ABC World Nightly News
  • ABC World News Tonight
  • CNN Early Edition
  • CNN Early Prime News
  • CNN Headline News
  • CNN Prime Time News
  • CNN The World Today
  • CSPAN Washington Journal
  • NPR All Things Considered
  • NPR Marketplace


    Transcripts have been made of all recordings in this publication, manually time aligned to the phrasal level, annotated to identify boundaries between news stories, speaker turn boundaries and gender information about the speakers. The released version of the transcripts is in SGML format and there is accompanying documentation and an SGML DTD file, included with the transcription release. The transcripts are available via FTP.


    There are no updates at this time.




    The Reduced Licensing Fee for this corpus is US$100.