Acquisition and synchronization of multimodal articulatory data
| Autor: | Marie-Odile Berger, Michael Aron, Yves Laprie, Nicolas Ferveur, Erwan Kerrien |
|---|---|
| Přispěvatelé: | Visual Augmentation of Complex Environments (MAGRIT), INRIA Lorraine, Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria)-Laboratoire Lorrain de Recherche en Informatique et ses Applications (LORIA), Institut National de Recherche en Informatique et en Automatique (Inria)-Université Henri Poincaré - Nancy 1 (UHP)-Université Nancy 2-Institut National Polytechnique de Lorraine (INPL)-Centre National de la Recherche Scientifique (CNRS)-Université Henri Poincaré - Nancy 1 (UHP)-Université Nancy 2-Institut National Polytechnique de Lorraine (INPL)-Centre National de la Recherche Scientifique (CNRS), Analysis, perception and recognition of speech (PAROLE) |
| Jazyk: | angličtina |
| Rok vydání: | 2007 |
| Předmět: |
Speech production
Modality (human–computer interaction) Computer science speech production ultrasound Speech recognition electromagnetic sensors Synchronizing 020206 networking & telecommunications 02 engineering and technology Synchronization 030507 speech-language pathology & audiology 03 medical and health sciences Coupling (computer programming) Sampling (signal processing) [INFO.INFO-TS]Computer Science [cs]/Signal and Image Processing Computer Science::Sound articulatory data 0202 electrical engineering electronic engineering information engineering 0305 other medical science temporal synchronization [SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processing |
| Zdroj: | 8th Annual Conference of the International Speech Communication Association-Interspeech'07 8th Annual Conference of the International Speech Communication Association-Interspeech'07, Aug 2007, Antwerpen, Belgium. pp.1398-1401 INTERSPEECH |
| Popis: | International audience; This paper describes a setup to synchronize data used to track speech articulators during speech production. Our method couples together an ultrasound, an electromagnetic and an audio system to record speech sequences. The coupling requires a precise temporal synchronization, to know exactly the delay between the recording start of each modality, and to know the sampling rate of each modality. A complete setup and methods for automatically synchronizing data are described. The aim is to get a fast, low-cost and easily reproducible acquisition system in order to temporally align data. |
| Databáze: | OpenAIRE |
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