An overview of automatic speech recognition preprocessing techniques

M Labied, A Belangour, M Banane… - … on Decision Aid …, 2022 - ieeexplore.ieee.org
Speech signal preprocessing is the first and the most important step in the automatic speech
recognition process. The preprocessing of speech consists of cleaning the speech signal …

Exploring the determinants of users' continuance usage intention of smart voice assistants

D Pal, MD Babakerkhell, X Zhang - Ieee Access, 2021 - ieeexplore.ieee.org
The use of personal voice-assistants like Amazon Alexa and Google Assistant has been on
the rise recently. To ensure a long-term success and widespread diffusion of these products …

Development of an intelligent personal assistant system based on IoT for people with disabilities

AA Ali, M Mashhour, AS Salama, R Shoitan, H Shaban - Sustainability, 2023 - mdpi.com
Approximately 15% of the world's population suffers from different types of disabilities. These
people face many challenges when trying to interact with their home appliances. Various …

Voice-controlled IoT devices framework for smart home

R Ranjan, A Sharma - Proceedings of First International Conference on …, 2020 - Springer
The escalating growth in automation industries and technologies has revealed astonishing
opportunities for digitally controllable devices that can change the houses that we live into a …

[PDF][PDF] Development of an Intelligent Personal Assistant System Based on IoT for People with Disabilities. Sustainability 2023, 15, 5166. h ps

AA Ali, M Mashhour, AS Salama… - doi. org/10.3390 …, 2023 - researchgate.net
Approximately 15% of the world's population suffers from different types of disabilities. These
people face many challenges when trying to interact with their home appliances. Various …

Usage of Internet of Things in home automation systems: A review

S Majumder, S Ray, C Ghosh, S Datta - Modeling, Simulation and …, 2021 - Springer
Home automation has drawn a massive attention from last few decades. The benefit of any
home automation system is to diminish the hard effort, timings, and errors that generally take …

Natural Tunisian Speech Preprocessing for Features Extraction

LI Nasr, A Masmoudi… - 2023 IEEE/ACIS 23rd …, 2023 - ieeexplore.ieee.org
In this paper, we describe the process of building a corpus for Tunisian Speech Emotion
Recognition (SER). To the best of our knowledge, it is the first work in the SER field that uses …

Open-Source Pipeline for Noise-Resilient Voice Data Preparation

A Alim, S Purnapatra, MJA Khondkar, S Schuckers… - 2024 - preprints.org
A crucial component for developing an automated speaker or speech recognition system is
voice preprocessing, which filters unwanted noise and detects the speech part. This study …

Real-time unusual user event detection algorithm fusing vision, audio, activity, and dust patterns

J Jung, R Oh, G Lee, J Ahn - Multimedia Tools and Applications, 2021 - Springer
According to the statistics examined by the National Safety Council, Injury Facts in 2017, a
significant number of preventable injury-related deaths occurred in home and indoor public …

[PDF][PDF] Automatic Speaker Recognition: A Survey

RK Rahim, TB Siyad, M Ameen, MS KT, M Selin - academia.edu
Speaker recognition is the task of identifying persons from their voices. Recently, deep
learning has dramatically revolutionized speaker recognition. This paper, reviews several …