Title
Call My Net Corpus: A Multilingual Corpus For Evaluation Of Speaker Recognition Technology
Abstract
The Call My Net 2015 (CMN15) corpus presents a new resource for Speaker Recognition Evaluation and related technologies. The corpus includes conversational telephone speech recordings for a total of 220 speakers spanning 4 languages: Tagalog, Cantonese, Mandarin and Cebuano. The corpus includes 10 calls per speaker made under a variety of noise conditions. Calls were manually audited for language, speaker identity and overall quality. The resulting data has been used in the NIST 2016 SRE Evaluation and will be published in the Linguistic Data Consortium catalog. We describe the goals of the CMN15 corpus, including details of the collection protocol and auditing procedure and discussion of the unique properties of this corpus compared to prior NIST SRE evaluation corpora.
Year
DOI
Venue
2017
10.21437/Interspeech.2017-1521
18TH ANNUAL CONFERENCE OF THE INTERNATIONAL SPEECH COMMUNICATION ASSOCIATION (INTERSPEECH 2017), VOLS 1-6: SITUATED INTERACTION
Keywords
Field
DocType
linguistic resources, speaker recognition, multilingual, conversational telephone speech
Computer science,Text corpus,Speech recognition,Speaker recognition,Natural language processing,Artificial intelligence,Corpus linguistics
Conference
ISSN
Citations 
PageRank 
2308-457X
1
0.35
References 
Authors
0
5
Name
Order
Citations
PageRank
Karen Sparck Jones11158363.97
Stephanie Strassel251258.41
Kevin Walker36521.51
David Graff47123.77
Jonathan Wright510.35