Speech based personal assistant
Dissertant
Thesis advisor
University
Al Akhawayn University
Faculty
School of Science and Engineering
Department
Computer Science
University Country
Morocco
Degree
Master
Degree Date
2014
English Abstract
Personal assistants have been growing rapidly in the recent years.
Application such as Apple’s Siri and Google Now made their entry to the market by supporting multi-domain interaction with the user.
Yet, they are not customizable or extendable.
In this report, we propose an architecture for a speech based personal assistant allowing the user to add new applications to her space through a store.
Upon installing a voice service, this store updates the automatic voice recognition and the semantic analyzer models.
This architecture has been implemented during this internship in the smart home environment.
Main Subjects
Engineering & Technology Sciences (Multidisciplinary)
No. of Pages
53
Table of Contents
Table of contents.
Abstract.
Abstract in Arabic.
Abstract in French.
Chapter One : Introduction.
Chapter Two : Contextual study: the smart home.
Chapter Three : Literature review.
Chapter Four : Related work : multi-domain SDS architecture.
Chapter Five : Speech based personal assistant.
Chapter Six : Discussion.
References.
American Psychological Association (APA)
Falih, Hajar. (2014). Speech based personal assistant. (Master's theses Theses and Dissertations Master). Al Akhawayn University, Morocco
https://search.emarefa.net/detail/BIM-645483
Modern Language Association (MLA)
Falih, Hajar. Speech based personal assistant. (Master's theses Theses and Dissertations Master). Al Akhawayn University. (2014).
https://search.emarefa.net/detail/BIM-645483
American Medical Association (AMA)
Falih, Hajar. (2014). Speech based personal assistant. (Master's theses Theses and Dissertations Master). Al Akhawayn University, Morocco
https://search.emarefa.net/detail/BIM-645483
Language
English
Data Type
Arab Theses
Record ID
BIM-645483
