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所在平台: Udemy |
课程主页: https://www.udemy.com/course/speech-recognition-based-home-automation/
课程评论：没有评论
**课程名称：** 基于语音识别的家居自动化 **课程概述：** 本课程将教授如何搭建属于您自己的基于语音识别的家居自动化系统，通过语音指令自动远程控制基本的家居功能和电器。您将学会如何使用语音控制伺服电机，并使其按照所需角度转动。 课程从满足个人需求出发，专注于家庭照明和通风系统的基础控制。通过学习简单的语音控制自动化基础知识，您可以为未来自动化家中几乎任何电器（仅受限于您的创造力和知识）打下坚实的基础。在掌握了基本的照明控制后，课程将进一步讲解如何利用树莓派 GPIO 引脚的 PWM 输出控制伺服电机，并通过 Python 文件 I/O 存储电机的位置信息。 本课程将指导您如何控制和自动化照明与通风设备，并具备扩展潜力，可用于控制各种服务和功能，从家用电器到监控和安防系统。系统将基于树莓派 3，并使用 Python 编写 Jasper 的模块，Jasper 是一个用于开发持续在线语音控制应用的开源平台。 课程旨在帮助您通过未来的语音识别技术，实现对家庭活动和电器的控制。利用语音转文本 (Speech-to-text) 和文本转语音 (Text-to-speech) 引擎，您可以有效地与 Jasper 沟通，执行简单的命令或任务，例如激活和关闭继电器开关以控制家用电器，无需体力劳动。 此外，本课程还将教授如何修改开源 Jasper 平台，使用 Snowboy 热词检测引擎进行离线语音识别以检测关键词，并使用 wit.ai 进行在线语音识别以检测命令词。这样做是为了在保留 Jasper 持续监听功能的同时，优先保障用户的隐私安全。
This course will focus on teaching you how to set up your very own speech recognition-based home automation system to control basic home functions and appliances automatically and remotely using speech commands. Furthermore, we will teach you how to control a servo motor using speech control to move the motor through a required angle.To learn how to automate your home, the best place to start is with your personal needs. So, in this course, we will focus on basic control of lighting and ventilation inside a home. This will give you a solid base to build upon by teaching you the basics required for simple speech-controlled automation and enable you to automate almost any appliance in your house - limited only by your creativity and knowledge. Once we have grasped basic lighting control, we will move on to controlling a servo motor using PWM output from the Raspberry Pi GPIO pin. We will also use python file I/O to store the motor's position.This home automation course will involve teaching you how to control and automate lighting and ventilation appliances, with the potential for expansion of the system to control a variety of services and functions - from home appliances to monitoring and security systems. The system used for home automation will involve using Raspberry Pi 3 and writing python codes as modules for Jasper, which is an open-source platform for developing always-on speech controlled applications. This course aims to help you attain control of household activities, and appliances via futuristic speech recognition. Using Speech-to-text and text-to-speech engines, it is possible to communicate effectively and efficiently with Jasper to carry out simple commands or tasks like activating, and deactivating relay switches to control home appliances without the need for physical exertion. This course will also teach you how to modify the open source Jasper platform to use Snowboy hotword detection engine for offline speech recognition for keyword detection while using wit ai online speech recognition for command word detection. We do this as a precaution to safeguard the privacy of the user while retaining Jasper's always listening feature.
