2001 HUB5 English Evaluation

Item Name: 2001 HUB5 English Evaluation
Author(s): David Graff, Alvin Martin, David Miller, Mark Przybocki, Kevin Walker
LDC Catalog No.: LDC2002S13
ISBN: 1-58563-229-5
ISLRN: 158-193-057-195-0
Release Date: April 16, 2002
Member Year(s): 2002
DCMI Type(s): Sound, Text
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): English
Language ID(s): eng
License(s): LDC User Agreement for Non-Members
Licensing Instructions: Subscription & Standard Members, and Non-Members
Citation: Graff, David, et al. 2001 HUB5 English Evaluation LDC2002S13. Web Download. Philadelphia: Linguistic Data Consortium, 2002.

Introduction

2001 HUB5 English Evaluation was developed by the Linguistic Data Consortium and consists of approximately 5 hours of English conversational telephone speech and associated transcripts used in the 2001 HUB5 evaluation sponsored by NIST (National Institute of Standards and Technology).

The HUB5 evaluation series focused on conversational speech recognition over the the telephone with the particular task of transcribing conversational speech into text. Its goals were to explore promising new areas in the recognition of conversational speech, to develop advanced technology incorporating those ideas and to measure the performance of the new technology. Further information about the evaluation is contained in The 2001 NIST Evaluation Plan for Recognition of Conversational Speech over the Telephone, included in this release.

Data

The source data consists of conversational telephone speech collected between 1990-2000 under the Switchboard protocol, specifically, 20 conversations from each of Switchboard-1, Release 2 (LDC97S62), Switchboard-2 Phase III Audio (LDC2002S06) and from the Switchboard cellular phone collection, Switchboard Cellular Part 1 Audio (LDC2001S13) and Switchboard Cellular Part 2 Audio (LDC2004S07). In the Switchboard study, recruited speakers were connected through a robot operator to carry on casual conversations about a daily topic announced by the robot operator at the start of the call.

The audio files are two-channel μlaw recordings in sphere format. The corresponding transcripts are presented in stm format.

Samples

Please view this audio sample and transcript sample.

Updates

In March 2015, transcripts were added to this release along with updated documentation.

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