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Titlebook: Building a Virtual Assistant for Raspberry Pi; The practical guide Tanay Pant Book 2016 Tanay Pant 2016 virtual assistant.raspberry pi.ras

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發(fā)表于 2025-3-21 17:59:06 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
期刊全稱Building a Virtual Assistant for Raspberry Pi
期刊簡(jiǎn)稱The practical guide
影響因子2023Tanay Pant
視頻videohttp://file.papertrans.cn/192/191841/191841.mp4
發(fā)行地址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 Mel
圖書封面Titlebook: Building a Virtual Assistant for Raspberry Pi; The practical guide  Tanay Pant Book 2016 Tanay Pant 2016 virtual assistant.raspberry pi.ras
影響因子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
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Book 2016program 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
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Shelah’s Proof of the Hales-Jewett Theorem program that records audio. You then graduate to an application that converts whatever you say to text. You also look at the use of various TSS engines and implement them to make a program that repeats whatever you say.
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Introduction Ramsey Theory Old and NewThis chapter gives a detailed overview of what virtual assistants are, common virtual assistants in the market, what qualities a virtual assistant should possess, and the basic workflow and design for building a scalable virtual assistant.
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Partitioning Topological SpacesIn this chapter, you learn how to implement a conversation module to make Melissa understand what you are saying, with the help of a Python program that implements keyword-recognition techniques.
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