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Learning Robotics using Python

You're reading from   Learning Robotics using Python Bring robotics projects to life with Python! Discover how to harness everything from Blender to ROS and OpenCV with one of our most popular robotics books.

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Product type Paperback
Published in May 2015
Publisher Packt
ISBN-13 9781783287536
Length 330 pages
Edition 1st Edition
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Table of Contents (14) Chapters Close

Preface 1. Introduction to Robotics FREE CHAPTER 2. Mechanical Design of a Service Robot 3. Working with Robot Simulation Using ROS and Gazebo 4. Designing ChefBot Hardware 5. Working with Robotic Actuators and Wheel Encoders 6. Working with Robotic Sensors 7. Programming Vision Sensors Using Python and ROS 8. Working with Speech Recognition and Synthesis Using Python and ROS 9. Applying Artificial Intelligence to ChefBot Using Python 10. Integration of ChefBot Hardware and Interfacing it into ROS, Using Python 11. Designing a GUI for a Robot Using Qt and Python 12. The Calibration and Testing of ChefBot Index

Real-time speech recognition using Pocket Sphinx, GStreamer, and Python in Ubuntu 14.04.2


The following is the code for real-time speech recognition using GStreamer:

#!/usr/bin/env python

#The following modules need to import before handling gstreamer API's

import gobject
import sys
import pygst
pygst.require('0.10')
gobject.threads_init()
import gst

#Module to handle keyboard interrupt signal
import signal

#Keyboard signal handling routine
def signal_handle(signal, frame):
  print "You pressed Ctrl+C"
  sys.exit(0)


#Implementation of Speech recognition class
class Speech_Recog(object):

  #Initializing gstreamer pipeline and pocket sphinx element
  def __init__(self):
    self.init_gst()

  #This function will initialize gstreamer pipeline
  def init_gst(self):
    #The following code create a gstreamer pipeline with pipeline description. The required descriptors needed for the code is given as parameters.
          self.pipeline = gst.parse_launch('gconfaudiosrc !audioconvert ! audioresample...
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