Speech in Noisy Environments 1 (SPINE1 CODED) Coded Audio

Item Name: Speech in Noisy Environments 1 (SPINE1 CODED) Coded Audio
Author(s): Astrid Schmidt-Nielsen, Elaine Marsh, John Tardelli, Paul Gatewood, Elizabeth Kreamer, Thomas Tremain, Christopher Cieri, David Graff, Cristina Tofan, Kai Shun Soo
LDC Catalog No.: LDC2001S99
ISBN: 1-58563-200-7
ISLRN: 688-490-070-931-9
Member Year(s): 2001
DCMI Type(s): Sound
Sample Rate: 16000
Data Source(s): microphone speech
Project(s): SPINE
Application(s): speech recognition
Language(s): English
Language ID(s): eng
License(s): LDC User Agreement for Non-Members
Online Documentation: LDC2001S99 Documents
Licensing Instructions: Subscription & Standard Members, and Non-Members
Citation: Schmidt-Nielsen, Astrid, et al. Speech in Noisy Environments 1 (SPINE1 CODED) Coded Audio LDC2001S99. Web Download. Philadelphia: Linguistic Data Consortium, 2001.

Introduction

This publication contains the Speech in Noisy Environments 1 (SPINE1) Coded Audio Corpus created for the Department of Defense (DoD) Digital Voice Processing Consortium (DDVPC) by Arcon Corp., and produced by the Linguistic Data Consortium (LDC) as catalog number LDC2001S99 with ISBN 1-58563-200-7. The transcripts for this publication are available as Speech in Noisy Environments (SPINE1) Training Transcripts LDC2000T49 and Speech in Noisy Environments (SPINE1) Evaluation Transcripts LDC2000T54.

This work was sponsored in part by National Science Foundation Grant No. IIS-9982201.

Data

For an example transcript, please click here. There are a total of 253 files, one "game" each, for a rough total of 19 hours and 28 minutes (~4.4Gb) of audio data.

This corpus will be used as part of the training set for the Second Speech in Noisy Environments Evaluation (SPINE2). SPINE2 will provide a continuing forum for assessing the state of the art and practice in speech recognition technology for noisy military environments and for exchanging information on innovative speech recognition technology in the context of fully implemented systems that perform realistic tasks. The evaluation will provide researchers, potential sponsors, and customers with a quantitative means to appreciate the strengths and weaknesses of the technologies, and the results reported on will invite customer interest in the potential utility of the technologies. More information on this evaluation is available here.

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