Alexa-Based Voice Assistant for Smart Home Applications

Jimenez, Clara; Saavedra, Edgar; Campo, Guillermo del; Santamaría, Asunción

doi:10.1109/mpot.2020.3002526

Cited by 17 publications

(12 citation statements)

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“…Thanks to voice assistants, people have now explored new benefits and experiences for communication with the outer world. The whole way of communication is changing, human-tohuman and even human-to-machine [4][5]. Voice assistants are becoming increasingly important in supporting persons with impairments, especially now, as the technology becomes more accessible.…”

Section: Research Motivationmentioning

confidence: 99%

“…Afterward, the authors of [4] explain how Alexa works for home automation. They explained that the affinity between the IoT system and the virtual voice assistant is generally set by the use of client-server frameworks such as REST.…”

Section: Related Workmentioning

confidence: 99%

“…Authors of [4] suggested a secure Wi-Fi network developed by a respectable manufacturer and configuring it according to the application. Other simple ways include changing the passwords and updating software periodically.…”

Section: Security Issues and Countermeasuresmentioning

confidence: 99%

“…In the proposed system there are virtual voice assistants for communication between the users and machine. It translates the user's voice request to text and then into JSON format [4]. JSON is an interchangeable data format, is language-independent, and is used for sending data from the server to the client, and vice versa.…”

Section: A Front-end Systemmentioning

confidence: 99%

“…Human-Machine Interaction (HMI) is the interaction or communication between machines and humans via an interface also called the user interface. Nowadays, Human-Machine Interaction has led way for new advancements [3][4].…”

Section: Introductionmentioning

confidence: 99%

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Intelligent and Interactive Healthcare System (I²HS) Using Machine Learning

Raina

Jha

2022

IEEE Access

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There has been a gigantic stir in the world's healthcare sector for the past couple of years with the advent of the Covid-19 pandemic. The healthcare system has suffered a major setback and, with the lack of doctors, nurses, and healthcare facilities the need for an intelligent healthcare system has come to the fore more than ever before. Smart healthcare technologies and Artificial Intelligence (AI)/Machine Learning (ML) algorithms provide encouraging and favorable solutions to the healthcare sector's challenges. An Intelligent Human-Machine Interactive system is the need of the hour. This paper proposes a novel architecture for an Intelligent and Interactive Healthcare System that incorporates edge/fog/cloud computing techniques and focuses on Speech Recognition and its extensive application in an interactive system. The focal reason for using speech in the healthcare sector is that it is easily available and can easily predict any physical or psychological discomfort. Simply put, human speech is the most natural form of communication. The Hidden Markov Model is applied to process the proposed approach as using the probabilistic approach is more realistic for prediction purposes. Ongoing projects and future work directions and challenges/issues are also addressed.

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Section: Research Motivationmentioning

confidence: 99%

Section: Related Workmentioning

confidence: 99%

Section: Security Issues and Countermeasuresmentioning

confidence: 99%

Section: A Front-end Systemmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Intelligent and Interactive Healthcare System (I²HS) Using Machine Learning

Raina

Jha

2022

IEEE Access

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Implementing scripted conversations by means of smart assistants

et al. 2022

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Smart assistants are among the most popular technological devices at home. With a built‐in voice‐based user interface, they provide access to a broad portfolio of online services and information, and constitute the central element of state‐of‐the‐art home automation systems. This work discusses the challenges addressed and the solutions adopted for the design and implementation of scripted conversations by means of off‐the‐shelf smart assistants. Scripted conversations play a fundamental role in many application fields, such as call center facilities, retail customer services, rapid prototyping, role‐based training or the management of neuropsychiatric disorders. To illustrate this proposal, an actual implementation of the phone version of the Montreal cognitive assessment test as an Amazon's Alexa skill is described as a proof‐of‐concept.

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Acoustic Compensation System Against Adversarial Voice Recognition

Sun,

Wang

2023

SpringerBriefs in Computer Science

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Alexa-Based Voice Assistant for Smart Home Applications

Cited by 17 publications

References 0 publications

Intelligent and Interactive Healthcare System (I²HS) Using Machine Learning

Intelligent and Interactive Healthcare System (I²HS) Using Machine Learning

Implementing scripted conversations by means of smart assistants

Acoustic Compensation System Against Adversarial Voice Recognition

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Alexa-Based Voice Assistant for Smart Home Applications

Cited by 17 publications

References 0 publications

Intelligent and Interactive Healthcare System (I2HS) Using Machine Learning

Intelligent and Interactive Healthcare System (I2HS) Using Machine Learning

Implementing scripted conversations by means of smart assistants

Acoustic Compensation System Against Adversarial Voice Recognition

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Product

Resources

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Intelligent and Interactive Healthcare System (I²HS) Using Machine Learning

Intelligent and Interactive Healthcare System (I²HS) Using Machine Learning