title: ACCOR: instrumentation and database for cross-language study of coarticulation.
abstract: An unavoidable problem in speech technology, particularly in the development of robust automatic speech recognition systems, is the extreme variability in the acoustic attributes of segments. Segments are highly sensitive to context and bear little resemblance to their intrinsic characteristics manifested when they are uttered in isolation. However, the problem can become tractable if we model the linguistic and physiological aspects of coarticulatory processes, the main source of systemic variability at the segmental level.
authors.affiliation: CNRS, Aix-en-Provence, France.
authors.forename: A
authors.initials: A
authors.lastname: Marchal
authors.forename: W J
authors.initials: WJ
authors.lastname: Hardcastle
mesh_terms: D003431:Cross-Cultural Comparison; D016208:Databases, Factual; D006801:Humans; D007802:Language; D008037:Linguistics; D008954:Models, Biological; D010700:Phonetics; D012107:Research Design; D013060:Speech / Q000502:physiology; D013061:Speech Acoustics