Building a Virtual Assistant for Raspberry Pi

Build a voice-controlled virtual assistant using speech-to-text engines, text-to-speech engines, and conversation modules. This book shows you how to program the virtual assistant to gather data from the internet (weather data, data from Wikipedia, data mining); play music; and take notes. Each chapter covers building a mini project/module to make the virtual assistant better. You'll develop the software on Linux or OS X before transferring it to your Raspberry Pi, ready for deploying in your own home-automation or Internet of Things applications. Building a Virtual Assistant for Raspberry Pi walks you through various STTs and TTSs and the implementation of these components with the help of Python. After that you will start implementing logic for handling user queries and commands, so that the user can have conversations with Melissa. You will then work to improve logic handling to detect what the user wants Melissa to do. You will also work on building some useful applications/modules for Melissa, which will allow you to gain interesting information from Melissa such as the time, weather information, and data from Wikipedia.

You will develop a music playing application as well as a note taking application for Melissa, laying the foundations for how Melissa can be further extended. Finally, you will learn how to deploy this software to your Raspberry Pi and how you can further scale Melissa to make her more intelligent, interactive and how you can use her in other projects such as home automation as well.

What You'll Learn

• Design the workflow and discover the concepts of building a voice controlled assistant
• Develop modules for having conversations with the assistant
• Enable the assistant to retrieve information from the internet
• Build utilities like a music player and a note taking application for the virtual assistant
• Integrate this software with a Raspberry Pi Who This Book Is For

Anyone who has built a home automation project with Raspberry Pi and now want to enhance it by making it voice-controlled. The book would also interest students from computer science or related disciplines.

Develop your own voice controlled assistant, Melissa, in Python Learn concepts by making Melissa more intelligent as we progress along the book Strengthen concepts by building scalable modules for Melissa Discuss how Melissa can be scaled for enterprise quality products so that the learning continues

Autorentext

Tanay Pant is an Indian author, hacker, developer and tech enthusiast. He is best known for his work on "Learning Firefox OS Application Development" which was published by Packt. He is also an official representative of Mozilla. He has been listed in the about:credits of the Firefox web browser for his contributions to the different open source projects of the Mozilla Foundation.  He also writes for a number of websites like SitePoint and Tuts+ where he shares tips and tricks about web development as well his opinions on different products. He digitally published Code Zer0 in his younger days to spread awareness about cyber security and hacker culture. He is also the chief architect of Stock Wolf, a global virtual stock trading platform that aims to impart practical education about stocks and markets. This platform has acquired more than 100 colleges and has players from about 15 countries.

Inhalt

Chapter 1: Introduction to Virtual Assistants

Chapter 2: Understanding and Building an Application with STT and TTS

Chapter 3: Getting Your Hands Dirty: Conversation Module

Chapter 4: Using the Internet to Gather Information

Chapter 5: Developing a Music Player for Melissa

Chapter 6: Developing a Note Taking Application

Chapter 7: Building a Voice Controlled Interface for Twitter and Imgur

Chapter 8: Building a Voice Controlled Interface for Twitter and Imgur

Chapter 9: Integrating Software with Raspberry Pi and Next Steps