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Prosody in Automatic Speech Processing

Bibliographic Data

ID23740024
AuthorsAnton Batliner (0000-0002-0946-7497, University of Augsburg), Bernd Möbius (0000-0003-3065-9984, Saarland University)
EditorsCarlos Gussenhoven (0000-0002-3263-162X), Aoju Chen
Year2020
Pages632-645
Publication date2020-12-31
Open AccessNo
TypeCHAPTER
VenueOxford Handbook of Language Prosody (SOURCE_BOOK)
PublisherOxford University Press (PUBLISHER • GB)
DOI10.1093/oxfordhb/9780198832232.013.42
OpenAlexW3217636701
ISBN9780198832232
LanguageEN

Automatic speech processing (ASP) is understood as covering word recognition, the processing of higher linguistic components (syntax, semantics, and pragmatics), and the processing of computational paralinguistics (CP), which deals with speaker states and traits. This chapter attempts to track the role of prosody in ASP from the word level up to CP. A short history of the field from 1980 to 2020 distinguishes the early years (until 2000)—when the prosodic contribution to the modelling of linguistic phenomena, such as accents, boundaries, syntax, semantics, and dialogue acts, was the focus—from the later years, when the focus shifted to paralinguistics; prosody ceased to be visible. Different types of predictor variables are addressed, among them high-performance power features as well as leverage features, which can also be employed in teaching and therapy.

Deep linguistic processing · Focus (optics) · Leverage (statistics) · Linguistics · Natural language processing · Pragmatics · Programming language · Prosody · Semantics (computer science) · Speech processing · Speech recognition · Syntax · Artificial Intelligence · Computer Science · Speech and dialogue systems

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