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Learning Robotics using Python

You're reading from  Learning Robotics using Python

Product type Book
Published in May 2015
Publisher Packt
ISBN-13 9781783287536
Pages 330 pages
Edition 1st Edition
Languages
Concepts

Table of Contents (19) Chapters

Learning Robotics Using Python
Credits
About the Author
About the Reviewers
www.PacktPub.com
Preface
Introduction to Robotics Mechanical Design of a Service Robot Working with Robot Simulation Using ROS and Gazebo Designing ChefBot Hardware Working with Robotic Actuators and Wheel Encoders Working with Robotic Sensors Programming Vision Sensors Using Python and ROS Working with Speech Recognition and Synthesis Using Python and ROS Applying Artificial Intelligence to ChefBot Using Python Integration of ChefBot Hardware and Interfacing it into ROS, Using Python Designing a GUI for a Robot Using Qt and Python The Calibration and Testing of ChefBot Index

Summary


The main aim of this chapter was to discuss speech recognition and synthesis and how we can implement it on our robot. By adding speech functionalities in our robot, we can make the robot more interactive than before. We saw what are the processes involved in the speech recognition and synthesis process. We also saw the block diagram of these processes and the functions of each block. After discussing the blocks, we saw some interesting speech recognition frameworks (such as Sphinx/Pocket Sphinx, Julius, and Windows Speech SDK and synthesis libraries such as eSpeak and Festival). After discussing these libraries, we discussed and worked with the Python interfacing of each library. Towards the end of this chapter, we discussed and worked with the ROS packages that perform speech recognition and synthesis functionalities.

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