Yaounde French Speech Corpus

reportActive / Technical Report | Accession Number: AD1028583 | Open PDF

Abstract:

The Yaounde French Speech corpus contains speech data that was collected by the Center for Technology Enhanced Language Learning CTELL, a research cell in the Department of Foreign Languages, United States Military Academy, West Point, New York. Collection took place in Yaounde, the capital city of Cameroon, in 2003. CTELL created this corpus in order to train acoustic models for automatic speech recognition ASR, and to, thereby, investigate the utility of ASR in pedagogical technology. The corpus is a sample of the French language, as spoken by citizens of Cameroon living in Yaounde in 2003.

Author(s):
Larocca, Stephen A. ; Morgan, John J. ; Vanni, Michelle T.
Author Organization(s):
US Army Research Laboratory Adelphi United States
Descriptive Note:
Technical Report
Pagination:
0084

Security Markings

DOCUMENT & CONTEXTUAL SUMMARY

Distribution:
Approved For Public Release
Distribution Statement:
Approved For Public Release;

RECORD

Collection: TR
Identifying Numbers
Report Number(s):
ARL-TN-0815
 Subject Terms
Joint Capability Areas:
JCA_1_Force Support; JCA_1.3_Human Capital Management; JCA_1.3.1_Personnel and Family Support; JCA_1.2_Force Preparation; JCA_5_Command and Control; JCA_8_Building Partnerships; JCA_1.2.1_Training; JCA_3.2_Engagement; JCA_3_Force Application; JCA_6.4.1_Secure Information Exchange; JCA_8.2_Shape; JCA_3.2.2_Non-Kinetic Means; JCA_5.1.3_Foster Organizational Collaboration; JCA_5.1_Organize; JCA_5.2.2_Develop Knowledge and Situational Awareness; JCA_5.2_Understand; JCA_6.4_Information Assurance; JCA_6_Net Centric; JCA_8.1.1_Inform Domestic and Foreign Audiences; JCA_8.1_Communicate
Modernization Areas:
AI and Machine Learning
Communities of Interest:
Biomedical
Descriptor(s):
automated speech recognition, french language, natural language computing, information science, translations
Field(s)/Group(s):
Linguistics
Keyword(s):
speech data, data collection, data preparation, lexical resources, language technology
Report Date:
2017 Mar 01
Creation Date:
2017 Oct 12