Download Building a Virtual Assistant for Raspberry Pi: The practical by Tanay Pant PDF

By Tanay Pant

Build a voice-controlled digital assistant utilizing speech-to-text engines, text-to-speech engines, and dialog modules. This e-book exhibits you ways to application the digital assistant to assemble information from the net (weather facts, information from Wikipedia, facts mining); play tune; and take notes. every one bankruptcy covers development a mini project/module to make the digital assistant larger. you will advance the software program on Linux or OS X earlier than moving it in your Raspberry Pi, prepared for deploying on your personal home-automation or net of items applications.

Building a digital Assistant for Raspberry Pi walks you thru a number of STTs and TTSs and the implementation of those parts with assistance from Python. After that you'll commence enforcing common sense for dealing with consumer queries and instructions, in order that the person may have conversations with Melissa. you are going to then paintings to enhance common sense dealing with to become aware of what the consumer desires Melissa to do. additionally, you will paintings on construction a few precious applications/modules for Melissa, on the way to let you achieve fascinating info from Melissa akin to the time, climate info, and knowledge from Wikipedia.

You will increase a track enjoying program in addition to a word taking program for Melissa, laying the rules for a way Melissa might be additional prolonged. ultimately, you are going to the right way to installation this software program on your Raspberry Pi and the way you could extra scale Melissa to make her extra clever, interactive and the way you should use her in different tasks corresponding to domestic automation as well.

What you will Learn

  • Design the workflow and realize the ideas of establishing a voice managed assistant
  • Develop modules for having conversations with the assistant
  • Enable the assistant to retrieve details from the internet
  • Build utilities like a song participant and a observe taking software for the digital assistant
  • Integrate this software program with a Raspberry Pi

Who This publication Is For

This e-book is for an individual who has equipped a house automation venture with Raspberry Pi and now are looking to improve it through making it voice-controlled. The publication could additionally curiosity scholars from laptop technology or similar disciplines.

Show description

Read or Download Building a Virtual Assistant for Raspberry Pi: The practical guide for constructing a voice-controlled virtual assistant PDF

Best robotics books

Haptics For Teleoperated Surgical Robotic Systems (New Frontiers in Robotics)

An immense quandary in Minimally Invasive surgical procedure (MIS) is the numerous degradation of haptic suggestions (sensation of contact) to the health professional approximately surgical device s interplay with tissue. This monograph is worried with units and techniques required for incorporating haptic suggestions in master-slave robot MIS platforms.

Field and Service Robotics: Results of the 9th International Conference

FSR, the overseas convention on box and repair Robotics, is a robotics Symposium which has tested during the last ten years the newest learn and useful effects in the direction of using box and repair robotics in the neighborhood with specific concentrate on confirmed know-how. the 1st assembly used to be held in Canberra, Australia, in 1997.

An Introduction to Fuzzy Logic Applications

Fuzzy common sense offers a special approach to approximate reasoning in a less than excellent international. this article is a bridge to the foundations of fuzzy good judgment via an application-focused method of chosen themes in Engineering and administration. the various examples element to the richer strategies received via fuzzy common sense and to the probabilities of a lot wider functions.

Structural Synthesis of Parallel Robots: Part 5: Basic Overconstrained Topologies with Schönflies Motions

This e-book represents the 5th a part of a bigger paintings devoted to the structural synthesis of parallel robots. The originality of this paintings is living within the incontrovertible fact that it combines new formulae for mobility, connectivity, redundancy and overconstraints with evolutionary morphology in a unified structural synthesis strategy that yields attention-grabbing and cutting edge strategies for parallel robot manipulators.

Extra info for Building a Virtual Assistant for Raspberry Pi: The practical guide for constructing a voice-controlled virtual assistant

Sample text

Yaml file: music_path: . py. py. mp3gen(music_path) Finally, edit the brain() function to look like the following: brain(name, speech_text, music_path, city_name, city_code, proxy_username, proxy_password) It’s time to program the module itself! lower())) return music_list def music_player(file_name): """ This function takes the name of a music file as an argument and plays it depending on the OS. join(words_of_message) music_listing = mp3gen(music_path) for i in range(0, len(music_listing)): if cleaned_message in music_listing[i]: music_player(music_listing[i]) Starting from the beginning, you import the built-in os, sys, and random.

To test the program, you can add the following additional line at the bottom of the code: tts("Hi handsome, this is Melissa") Save the code, and run the Python file. It should execute successfully. Repeat What I Say For the sake of exercise and fun, construct a Python program that detects whatever you say and repeats it. This involves a combination of the STT and TTS engines. recognize_google(audio) 16 CHAPTER 2 ■ UNDERSTANDING AND BUILDING AN APPLICATION WITH STT AND TTS Integrating STT and TTS in Melissa As discussed in Chapter 1, you are past the stages of learning concepts and prototyping STT and TTS; now it’s time to integrate the STT engine as well as the TTS engine in Melissa in a proper, reusable fashion.

You revisit this file later to edit the code and improve check_message(). close() # Functioning Variables name = profile_data['name'] city_name = profile_data['city_name'] tts('Welcome ' + name + ', systems are now ready to run. py. Inside the main() function, you add brain(), where you pass the name and speech_text arguments. Your program is now ready to run and to be tested. ” into the microphone. ” There are two problems with the existing system: 1. The library of conversation clauses is limited and static.

Download PDF sample

Rated 4.53 of 5 – based on 40 votes

Author: admin