TDT3 Mandarin Audio


Item Name: TDT3 Mandarin Audio
Authors: David Graff
LDC Catalog No.: LDC2001S95
ISBN: 1-58563-186-8
Data Type: speech
Sample Rate: 16000 Hz
Sampling Format: 1-channel pcm
Data Source(s): broadcast news
Project(s): EARS, GALE, TDT, TIDES
Application(s): speech recognition, topic detection and tracking
Language(s): Mandarin Chinese
Distribution: 2 DVD
Member fee: $0 for 2001 members
Non-member Fee: US $3500.00
Reduced-License Fee: US $1950.00
Extra-Copy Fee: US $1950.00
Non-member License: yes
Online documentation: yes
Licensing Instructions: Subscription & Standard Members, and Non-Members
Citation: David Graff
2001
TDT3 Mandarin Audio
Linguistic Data Consortium, Philadelphia

Introduction

This publication contains the TDT3 Broadcast News Mandarin Corpus (Audio), produced by the Linguistic Data Consortium (LDC), catalog number LDC2001S95 and ISBN number 1-58563-186-8. The contents of this publication were recorded from various 60-minute, twice daily Mandarin news programs from VOA. The transcripts of these broadcasts will be published in the TDT3 Mandarin Text and TDT3 Multilanguage Text Corpora.

Data

Topic Detection and Tracking (TDT) refers to automatic techniques for finding topically related material in streams of data such as newswire and broadcast news. The TDT3 corpus was created to support three TDT3 tasks: find topically homogeneous sections (segmentation), detect the occurrence of new events (detection), and track the reoccurrence of old or new events (tracking). For further information on TDT3 please visit our TDT3 Information Pages.

The goal of Topic Detection and Tracking - Phase 3 (TDT3) is to create core technology to monitor multiple streams of news in multiple languages and media (newswire, radio, television, web sites or some future combination or innovation), segmenting the streams into individual stories, detecting new topics and tracking all stories discussing them. In additional to the TDT-2 tasks of segmentation, detection and tracking, TDT3 adds the tasks of first story detection and story-link detection. The goal of the latter is to detect links between stories that discuss the same topic even though the topic has not been defined in advance.

Please see file.tbl for the directory structure of this publication, as well as a complete list of files.

The data files are recordings of Voice of America (VOA) news broadcasts. The data were collected daily over a period of three months (October-December 1998). The audio files in this corpus are single channel, 16 KHz, 16-bit linear SPHERE files.

Updates

There are no updates at this time.

Content Copyright