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Neologos: an optimized database for the development of new speech processing algorithms
- Source :
- 9th European Conference on Speech Communication and Technology-EUROSPEECH/INTERSPEECH 2005, 9th European Conference on Speech Communication and Technology-EUROSPEECH/INTERSPEECH 2005, 2005, France. pp.1549--1552, Scopus-Elsevier, INTERSPEECH
- Publication Year :
- 2005
- Publisher :
- HAL CCSD, 2005.
-
Abstract
- The Neologos project is a speech database creation project for the French language, resulting from a collaboration between universities and industrial companies and supported by the French Ministry of Research. The goal of Neologos is to re-think the design of the speech databases in order to enable the development of new algorithms in the field of speech processing. A general method is proposed to optimize the database contents in terms of diversity of the recorded voices, while reducing the number of recorded speakers.
- Subjects :
- Audio mining
Computer science
Speech synthesis
02 engineering and technology
computer.software_genre
Field (computer science)
[INFO.INFO-CL]Computer Science [cs]/Computation and Language [cs.CL]
030507 speech-language pathology & audiology
03 medical and health sciences
0202 electrical engineering, electronic engineering, information engineering
Speech analytics
speech database
speaker clustering
Database
business.industry
Speech technology
speech recognition
French
020206 networking & telecommunications
Speech corpus
Speech processing
language.human_language
[INFO.INFO-CL] Computer Science [cs]/Computation and Language [cs.CL]
language
Artificial intelligence
0305 other medical science
business
computer
Algorithm
Natural language processing
Subjects
Details
- Language :
- English
- Database :
- OpenAIRE
- Journal :
- 9th European Conference on Speech Communication and Technology-EUROSPEECH/INTERSPEECH 2005, 9th European Conference on Speech Communication and Technology-EUROSPEECH/INTERSPEECH 2005, 2005, France. pp.1549--1552, Scopus-Elsevier, INTERSPEECH
- Accession number :
- edsair.doi.dedup.....928f004c6bd470c549f3144b2ef24e91