Improvement of Speech Recognition for Robots Using Blind Signal Separation

被引：0

作者：

Bicher, Daniel ^{[1
]}

Kroll-Peters, Olaf ^{[1
]}

Lee, Thebin ^{[1
]}

Tiotuico, Natascha ^{[1
]}

Wilhelm, Mathias ^{[1
]}

机构：

[1] Tech Univ Berlin, DAI Labor, D-10587 Berlin, Germany

来源：

ISCGAV'08: PROCEEDINGS OF THE 8TH WSEAS INTERNATIONAL CONFERENCE ON SIGNAL PROCESSING, COMPUTATIONAL GEOMETRY AND ARTIFICIAL VISION | 2008年

关键词：

Blind Signal Separation; Robotics; Speech Recognition; Aibo;

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

For modem entertainment and service robots, it is desirable to establish good verbal communication with humans. This communication may easily be influenced or even completely suppressed by noise. An often neglected source of noise is that produced by the robot motors. In this paper we will show how to extract the motor noise of a robot, separate it from the desired input, and how to improve the robustness of speech recognition using Blind Source Separation.

引用

页码：52 / 55

页数：4