DocumentCode :
2648023
Title :
On the active perception of speech by robots
Author :
Kabré, Harouna
Author_Institution :
CLIPS-IMAG Lab., Joseph Fourier Univ., Grenoble, France
fYear :
1996
fDate :
8-11 Dec 1996
Firstpage :
765
Lastpage :
774
Abstract :
We describe an autonomous agent approach to automatic speech recognition which is based on the link of two models: a virtual environment model (VEM) and a virtual speaker model (VSM). The VEM is a system which can generate some synthetic signals of different wave lengths and can record real world data from a camera and a microphone. The VSM is a speech synthesis model with some controllable parameters which can be used to synthesize speech signal which varies according to the characteristics of an unknown speaker. VEM and VSM are instantiated to train artificial neural networks which extract and integrate the auditory and the visual information paths for the purpose of robust automatic speech recognition. Such an instance is called an autonomous speech recognition agent (ASRA) or equivalently a speech robot. Finally, the problem of robust automatic speech recognition in this new framework amounts to select the best ASRA for a given pair of VEM and VSM. The paper describes the simulation environment and presents the potential applications of this new model in the framework of data fusion, of ASRAs evaluation and of emerging properties of auto-adaptive systems
Keywords :
robots; sensor fusion; signal synthesis; speech recognition; speech synthesis; active speech perception; artificial neural networks; auto-adaptive systems; automatic speech recognition; autonomous speech recognition agent; data fusion; speech robot; speech synthesis model; synthetic signals; virtual environment model; virtual speaker model; Automatic speech recognition; Autonomous agents; Cameras; Microphones; Robotics and automation; Robots; Robustness; Signal generators; Speech synthesis; Virtual environment;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Multisensor Fusion and Integration for Intelligent Systems, 1996. IEEE/SICE/RSJ International Conference on
Conference_Location :
Washington, DC
Print_ISBN :
0-7803-3700-X
Type :
conf
DOI :
10.1109/MFI.1996.572314
Filename :
572314
Link To Document :
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