CHM150

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Mena, Carlos Daniel Hernández; Herrera, Abel, 2024, "CHM150", https://hdl.handle.net/11272.1/AB2/UWURFR, Abacus Data Network, V1

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Description	Abstract Introduction CHM150 (Corpus Hecho en México 150) was developed by the Speech Processing Laboratory of the Faculty of Engineering at the National Autonomous University of Mexico (UNAM) and consists of approximately 1.63 hours of Mexican Spanish speech, associated transcripts, and speaker metadata. The goal of this work was to support spoken term detection and forensic speaker identification. LDC has released the following data sets in the CIEMPIESS series: CIEMPIESS (LDC2015S07) CIEMPIESS Light (LDC2017S23) CIEMPIESS Balance (LDC2018S11) CIEMPIESS Experimentation (LDC2019S07) Data This corpus is comprised of Mexican Spanish microphone speech from 75 male speakers and 75 female speakers in a quiet office environment. Speakers could answer pre-selected open questions or describe a particular painting shown to them on a computer monitor. Speaker metadata in this release includes age, gender, place of birth, place of residence and parents' nationalities. The audio files are presented as to 16 kHz, 16-bit PCM flac compressed wav. (2016-06-15)
Subject	Other
Keyword	Linguistics
Notes	DCMI Type(s): Sound, Text Sample Type: Pcm Sample Rate: 16000 Application(s): Speaker identification, spoken term detection Language(s): Spanish Language ID(s): spa Metadata automatically created from https://catalog.ldc.upenn.edu/LDC2016S04 [27 Sep 2024]

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Citation Metadata

Dataset Persistent ID	hdl:11272.1/AB2/UWURFR
Publication Date	2024-10-25
Title	CHM150
Other ID	Linguistic Data Consortium: LDC2016S04 ISBN: 1-58563-756-4 ISLRN: 649-160-209-726-6 DOI: https://doi.org/10.35111/ygn0-wm25
Author	Mena, Carlos Daniel Hernández Herrera, Abel
Contact	Use email button above to contact. Abacus Support
Description	Abstract Introduction CHM150 (Corpus Hecho en México 150) was developed by the Speech Processing Laboratory of the Faculty of Engineering at the National Autonomous University of Mexico (UNAM) and consists of approximately 1.63 hours of Mexican Spanish speech, associated transcripts, and speaker metadata. The goal of this work was to support spoken term detection and forensic speaker identification. LDC has released the following data sets in the CIEMPIESS series: CIEMPIESS (LDC2015S07) CIEMPIESS Light (LDC2017S23) CIEMPIESS Balance (LDC2018S11) CIEMPIESS Experimentation (LDC2019S07) Data This corpus is comprised of Mexican Spanish microphone speech from 75 male speakers and 75 female speakers in a quiet office environment. Speakers could answer pre-selected open questions or describe a particular painting shown to them on a computer monitor. Speaker metadata in this release includes age, gender, place of birth, place of residence and parents' nationalities. The audio files are presented as to 16 kHz, 16-bit PCM flac compressed wav. (2016-06-15)
Subject	Other
Keyword	Linguistics (Linguistic Data Consortium)
Notes	DCMI Type(s): Sound, Text Sample Type: Pcm Sample Rate: 16000 Application(s): Speaker identification, spoken term detection Language(s): Spanish Language ID(s): spa Metadata automatically created from https://catalog.ldc.upenn.edu/LDC2016S04 [27 Sep 2024]
Producer	Linguistic Data Consortium https://www.ldc.upenn.edu/
Distribution Date	2016-06-15
Deposit Date	2016-06-15
Series	LDC: Linguistic Data Consortium
Data Sources	Microphone speech

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User License Agreement for CHM150 LDC2016S04

Application by an Organization to use CHM150 LDC2016S04 distributed by the Linguistic Data Consortium (LDC)

“User”, an organization engaging in language education, research and technology development agrees to use the data designated as CHM150 LDC2016S04 (the “Data”) and distributed by LDC subject to the following understandings, terms and conditions.

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1.1. The Data may only be used for linguistic education, research and non-commercial technology development, including but not limited to information retrieval, document understanding, machine translation or speech recognition.

1.2. User shall not publish, retransmit, display, redistribute, reproduce or commercially exploit the Data in any form, except that User may include limited excerpts from the Data in articles, reports and other documents describing the results of User’s linguistic education, research and non-commercial technology development.

2. Copyright Notice and Disclaimer

2.1. The Data is the property of Carlos Daniel Hernández Mena and is protected by applicable copyright law. In no event shall User publish, retransmit, display, redistribute, or otherwise reproduce any or all of the Data in any format to anyone, except as allowed in Section 1 of this agreement.

2.2. USER ACKNOWLEDGES AND AGREES THAT CHM150 LDC2016S04 IS PROVIDED ON AN “AS-IS” BASIS AND THAT LDC AND ITS HOST INSTITUTION THE UNIVERSITY OF PENNSYLVANIA MAKE NO REPRESENTATIONS OR WARRANTIES OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO IMPLIED WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE, OR CONFORMITY WITH WHATEVER DOCUMENTATION IS PROVIDED. IN NO EVENT SHALL LDC OR ITS HOST INSTITUTION BE LIABLE FOR SPECIAL, DIRECT, INDIRECT, CONSEQUENTIAL, PUNITIVE, INCIDENTAL OR OTHER DAMAGES, LOSSES, COSTS, CHARGES, CLAIMS, DEMANDS, FEES OR EXPENSES OF ANY NATURE OR KIND ARISING IN ANY WAY FROM THE FURNISHING OF, OR USER’S USE OF, CHM150 LDC2016S04.

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