2001 HUB5 Mandarin Evaluation

Item Name: 2001 HUB5 Mandarin Evaluation
Author(s): David Graff, Alvin Martin, David Miller, Mark Przybocki, Kevin Walker
LDC Catalog No.: LDC2002S12
ISBN: 1-58563-228-7
ISLRN: 002-640-961-995-2
DOI: https://doi.org/10.35111/9ydy-sh84
Release Date: April 30, 2002
Member Year(s): 2002
DCMI Type(s): Sound
Sample Type: 2-channel ulaw
Sample Rate: 8000
Data Source(s): telephone conversations
Project(s): Hub5-LVCSR, GALE, EARS
Application(s): speech recognition
Language(s): Mandarin Chinese
Language ID(s): cmn
License(s): LDC User Agreement for Non-Members
Online Documentation: LDC2002S12 Documents
Licensing Instructions: Subscription & Standard Members, and Non-Members
Citation: Graff, David, et al. 2001 HUB5 Mandarin Evaluation LDC2002S12. Web Download. Philadelphia: Linguistic Data Consortium, 2002.
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2001 HUB5 Mandarin Evaluation is part of an ongoing series of periodic evaluations conducted by NIST. These evaluations provide an important contribution to the direction of research efforts and the calibration of technical capabilities. They are intended to be of interest to all researchers working on the general problem of conversational speech recognition. To this end the evaluation was designed to be simple, to focus on core speech technology issues, to be fully supported, and to be accessible.

The evaluation was held from February 21 - March 12, 2001. The systems were to produce character-level transcripts and character-level confidence scores for the complete set of evaluation test material.

Additional information about the evaluation is available from this NIST website.


The test data comes from unexposed Mandarin CALLHOME Conversations, stored in sphere format. There are 20 sphere files encoded in two-channel interleaved mulaw for a total of 441,990,656 bytes (421 Mbytes) or eight hours of sphere data. These conversations were transcribed and time-marked by speaker turn, by the LDC.

An included documentation table contains information on the speech segments to be processed as follows: ...


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