OLAC Record oai:www.ldc.upenn.edu:LDC2002S24

Metadata
Title:		1997 HUB5 German Evaluation
Access Rights:		Licensing Instructions for Subscription & Standard Members, and Non-Members: http://www.ldc.upenn.edu/language-resources/data/obtaining
Bibliographic Citation:		Linguistic Data Consortium. 1997 HUB5 German Evaluation LDC2002S24. Web Download. Philadelphia: Linguistic Data Consortium, 2002
Contributor:		Linguistic Data Consortium
Date (W3CDTF):		2002
Date Issued (W3CDTF):		2002-11-08
Description:		*Introduction* The 1997 HUB5 German Evaluation was produced by Linguistic Data Consortium (LDC) catalog number LDC2002S24 and ISBN 1-58563-234-1. The 1997 HUB5 Non-English 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 HUB5 Non-English Evaluation, conducted in the fall of 1997, complemented another related evaluation which was conducted in the spring of that year. The spring evaluation focuses on the recognition of conversational speech in English. This evaluation is dedicated to the advancement of speech recognition technology for languages other than English, and specifically this year for Arabic, German, Mandarin, and Spanish. It focuses also on issues related to porting recognition technology to new languages, to system generality, and to language commonalties and universals. The HUB5 Non-English Evaluation focuses on the task of transcribing conversational speech into text. This task is posed in the context of conversational telephone speech in Arabic, German, Mandarin, and Spanish. The evaluation is designed to foster research progress, with the goals of: * exploring promising new ideas in the recognition of conversational speech * developing advanced technology incorporating these ideas * measuring the performance of this technology The task is to transcribe conversational speech. The speech to be transcribed is presented as a set of conversations collected over the telephone. Each conversation is represented as a "4-wire" recording, that is with two distinct sides, one from each end of the telephone circuit. Each side is recorded and stored as a standard telephone codec signal (8 kHz sampling, 8-bit u-law encoding). Additional documentation is available at the NIST website. *Data* This publication contains 20 sphere files encoded in two channel interleaved mulaw with a sampling rate of 8 KHz, for a total of 561,150,160 bytes (535 Mbytes) or nine hours of sphere data. An included documentation table contains information on the speech segments to be processed as follows: ... *Updates* There are no updates at this time.
Extent:		Corpus size: 549888 KB
Format:		Sampling Rate: 8000
		Sampling Format: ulaw
Identifier:		LDC2002S24
		https://catalog.ldc.upenn.edu/LDC2002S24
		ISBN: 1-58563-234-1
		ISLRN: 277-654-929-622-8
		DOI: 10.35111/c2j3-2h86
Language:		German
Language (ISO639):		deu
License:		LDC User Agreement for Non-Members: https://catalog.ldc.upenn.edu/license/ldc-non-members-agreement.pdf
Medium:		Distribution: Web Download
Publisher:		Linguistic Data Consortium
Publisher (URI):		https://www.ldc.upenn.edu
Relation (URI):		https://catalog.ldc.upenn.edu/docs/LDC2002S24
Rights Holder:		Portions © 1996-2002 Trustees of the University of Pennsylvania.
Type (DCMI):		Sound
Type (OLAC):		primary_text
OLAC Info
Archive:		The LDC Corpus Catalog
Description:		http://www.language-archives.org/archive/www.ldc.upenn.edu
GetRecord:		OAI-PMH request for OLAC format
GetRecord:		Pre-generated XML file
OAI Info
OaiIdentifier:		oai:www.ldc.upenn.edu:LDC2002S24
DateStamp:		2020-11-30
GetRecord:		OAI-PMH request for simple DC format
Search Info
Citation:		Linguistic Data Consortium. 2002. Linguistic Data Consortium.
Terms:		area_Europe country_DE dcmi_Sound iso639_deu olac_primary_text