|Author(s):||Carlos Daniel Hernández Mena, Abel Herrera|
|LDC Catalog No.:||LDC2016S04|
|Release Date:||June 15, 2016|
|DCMI Type(s):||Sound, Text|
|Data Source(s):||microphone speech|
|Application(s):||spoken term detection, speaker identification|
|Online Documentation:||LDC2016S04 Documents|
|Licensing Instructions:||Subscription & Standard Members, and Non-Members|
|Citation:||Mena, Carlos Daniel Hernández, and Abel Herrera. CHM150 LDC2016S04. Web Download. Philadelphia: Linguistic Data Consortium, 2016.|
|Related Works: Hide||View|
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)
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.
None at this time.