๐”– Bobbio Scriptorium
โœฆ   LIBER   โœฆ

Application of a stereovision neural network to continuous speech recognition

โœ Scribed by Tetsuro Kitazoe; Tomoyuki Ichiki; Makoto Funamori

Publisher
Springer Japan
Year
2001
Tongue
English
Weight
875 KB
Volume
5
Category
Article
ISSN
1433-5298

No coin nor oath required. For personal study only.

๐Ÿ“œ SIMILAR VOLUMES

A new neural network for articulatory sp
A new neural network for articulatory speech recognition and its application to vowel identification
โœ Jeff Zacks; Timothy R. Thomas ๐Ÿ“‚ Article ๐Ÿ“… 1994 ๐Ÿ› Elsevier Science ๐ŸŒ English โš– 762 KB

A system for automatic speech recognition (ASR) based on a new neural network design and a theory of articulatory phonology is presented. This system operates in two stages. In the first, speech acoustics are mapped by a neural network onto the movements of the tongue and lips that produced those ac

Estimation of mixtures of stochastic dyn
Estimation of mixtures of stochastic dynamic trajectories: application to continuous speech recognition
โœ Mohamed Afify; Yifan Gong; Jean-Paul Haton ๐Ÿ“‚ Article ๐Ÿ“… 1996 ๐Ÿ› Elsevier Science ๐ŸŒ English โš– 223 KB

In this work we extend our previously proposed stochastic mixture trajectory models to modelling time correlation. To achieve this extension we explicitly model the time evolution of an observed trajectory by the sum of a first order AR process and a mean component. This approach generalizes that em