Reformulating Prosodic Break Model into Segmental HMMs and Information Fusion

Autor: Obin, Nicolas, Lanchantin, Pierre, Lacheret, Anne, Rodet, Xavier
Přispěvatelé: Sciences et Technologies de la Musique et du Son (STMS), Institut de Recherche et Coordination Acoustique/Musique (IRCAM)-Université Pierre et Marie Curie - Paris 6 (UPMC)-Centre National de la Recherche Scientifique (CNRS), Modèles, Dynamiques, Corpus (MoDyCo), Université Paris Nanterre (UPN)-Centre National de la Recherche Scientifique (CNRS), Fondation Des Treilles, Obin, Nicolas
Jazyk: angličtina
Rok vydání: 2011
Předmět:
[STAT.AP]Statistics [stat]/Applications [stat.AP]
[INFO.INFO-TS] Computer Science [cs]/Signal and Image Processing
020206 networking & telecommunications
Computer Science::Computation and Language (Computational Linguistics and Natural Language and Speech Processing)
02 engineering and technology
speech prosody
[SHS.LANGUE] Humanities and Social Sciences/Linguistics
030507 speech-language pathology & audiology
03 medical and health sciences
ComputingMethodologies_PATTERNRECOGNITION
Dempster-Shafer fusion
[STAT.AP] Statistics [stat]/Applications [stat.AP]
[INFO.INFO-TS]Computer Science [cs]/Signal and Image Processing
0202 electrical engineering
electronic engineering
information engineering

segmental- HMM
[SHS.LANGUE]Humanities and Social Sciences/Linguistics
0305 other medical science
[SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processing
prosodic break
[SPI.SIGNAL] Engineering Sciences [physics]/Signal and Image processing
Zdroj: Interspeech
Interspeech, Aug 2011, Florence, Italy
Popis: International audience; In this paper, a method for prosodic break modelling based on segmental-HMMs and Dempster-Shafer fusion is presented, and the relative importance of linguistic and metric constraints in prosodic break modelling is assessed. A context-dependent segmental-HMM is used to explicitly model the linguistic and the metric constraints. Dempster-Shafer fusion is used to balance the relative importance of the linguistic and the metric constraints into the segmental-HMM. A linguistic processing chain based on surface and deep syntactic parsing is additionally used to extract linguistic informations of different nature. An objective evaluation proved evidence that the optimal combination of the linguistic and the metric constraints significantly outperforms both the conventional HMM (linguistic information only) and segmental-HMM (equal balance of linguistic and metric constraints), and confirmed that the linguistic constraint is prior to the metric.
Databáze: OpenAIRE