Building a Virtual Assistant for Raspberry Pi

The practical guide for constructing a voice-controlled virtual assistant
Author: Tanay Pant
Publisher: Apress
ISBN: 1484221672
Category: Computers
Page: 95
View: 7710
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.

Neutrosofía: Nuevos avances en el tratamiento de la incertidumbre

Author: Maikel Leyva Vázquez,Florentin Smarandache
Publisher: Infinite Study
ISBN: 1599735725
Category: Mathematics
Page: 76
View: 1252
El presente libro muestra los avances en la neutrosofía llevados al idioma español. Además, presenta implementaciones computacionales utilizando los cuadernos de Jupyter. Constituye un avance a la aplicación de la neutrosofía en distintas situaciones prácticas. Es un avance en especial para el público para los hispanoparlantes. El capítulo 1 aborda la introducción a la neutrosofía y su evolución. El capítulo 2 está dedicado a distintos modelos de toma de decisiones. El capítulo 3 por su parte es dedicado a los modelos de recomendación basados en conocimiento y el capítulo 4 a los mapas cognitivos neutrosóficos.

Python Programming with Raspberry Pi

Author: Sai Yamanoor,Srihari Yamanoor
Publisher: Packt Publishing Ltd
ISBN: 1786469154
Category: Computers
Page: 312
View: 3440
Become a master of Python programming using the small yet powerful Raspberry Pi Zero About This Book This is the first book on the market that teaches Python programming with Raspberry Pi Zero Develop exciting applications such as a mobile robot and home automation controller using Python This step-by-step guide helps you make the most out of Raspberry Pi Zero using Python programming Who This Book Is For This book is aimed at hobbyists and programmers who want to learn Python programming and develop applications using the Pi Zero. They should have basic familiarity with electronics. What You Will Learn Configure Raspberry Pi using Python Control loops to blink an LED using simple arithmetic operations Understand how interface sensors, actuators, and LED displays work Get to grips with every aspect of Python programming using practical examples Explore machine vision, data visualization, and scientific computations Build a mobile robot using the Raspberry Pi as the controller Build a voice-activated home automation controller In Detail Raspberry Pi Zero is a super-small and super-affordable product from Raspberry Pi that is packed with a plethora of features and has grabbed the notice of programmers, especially those who use Python. This step-by-step guide will get you developing practical applications in Python using a Raspberry Pi Zero. It will become a valuable resource as you learn the essential details of interfacing sensors and actuators to a Raspberry Pi, as well as acquiring and displaying data. You will get started by writing a Python program that blinks an LED at 1-second intervals. Then you will learn to write simple logic to execute tasks based upon sensor data (for example, to control a motor) and retrieve data from the web (such as to check e-mails to provide a visual alert). Finally, you will learn to build a home automation system with Python where different appliances are controlled using the Raspberry Pi. The examples discussed in each chapter of this book culminate in a project that help improve the quality of people's lives. Style and approach This will be a learning, step-by-step guide to teach Python programming using the famous Raspberry Pi Zero. The book is packed with practical examples at every step along with tips and tricks for the Raspberry Pi fans

Recent Developments in Mechatronics and Intelligent Robotics

Proceedings of International Conference on Mechatronics and Intelligent Robotics (ICMIR2018)
Author: Kevin Deng,Zhengtao Yu,Srikanta Patnaik,John Wang
Publisher: Springer
ISBN: 3030002144
Category: Technology & Engineering
Page: 1280
View: 2162
This book is a collection of proceedings of the International Conference on Mechatronics and Intelligent Robotics (ICMIR2018), held in Kunming, China during May 19–20, 2018. It consists of 155 papers, which have been categorized into 6 different sections: Intelligent Systems, Robotics, Intelligent Sensors & Actuators, Mechatronics, Computational Vision and Machine Learning, and Soft Computing. The volume covers the latest ideas and innovations both from the industrial and academic worlds, as well as shares the best practices in the fields of mechanical engineering, mechatronics, automatic control, IOT and its applications in industry, electrical engineering, finite element analysis and computational engineering. The volume covers key research outputs, which delivers a wealth of new ideas and food for thought to the readers.