Intelligent Instruction-Based IoT Framework for Smart Home Applications using Speech Recognition

Yao Ge, Shuja Ansari, Amir Abdulghani, Muhammad Ali Imran, Qammer H. Abbasi

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

Design of a smart home using Internet of Things (IoT) and Machine Learning technology has been presented in this paper. This design is primarily based on LoRaWAN protocol and the main objective of this work was to establish an IoT network that is based on integration of sensors, gateway, network server and data visualization system. More importantly, intelligent speech recognition system is designed and presented here in detail as part of this work to achieve a novel futuristic smart home system design framework with intelligent instruction-based operation mechanism. In the case of low noise, the success rate of speaker recognition is above 90% based on THCHS-30 dataset.

Original languageEnglish
Title of host publicationProceedings - 2020 IEEE International Conference on Smart Internet of Things, SmartIoT 2020
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages197-204
Number of pages8
ISBN (Electronic)9781728165141
DOIs
Publication statusPublished - Aug 2020
Event4th IEEE International Conference on Smart Internet of Things, SmartIoT 2020 - Beijing, China
Duration: Aug 14 2020Aug 16 2020

Publication series

NameProceedings - 2020 IEEE International Conference on Smart Internet of Things, SmartIoT 2020

Conference

Conference4th IEEE International Conference on Smart Internet of Things, SmartIoT 2020
Country/TerritoryChina
CityBeijing
Period8/14/208/16/20

Keywords

  • Internet of Things (IoT)
  • Lo-RaWAN
  • Maichine Learning
  • Smart Home
  • Speech Recognition

ASJC Scopus subject areas

  • Hardware and Architecture
  • Information Systems and Management
  • Safety, Risk, Reliability and Quality
  • Artificial Intelligence
  • Computer Networks and Communications

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