Classification of snoring sound based on a recurrent neural network

SJ Lim, SJ Jang, JY Lim, JH Ko - Expert Systems with Applications, 2019 - Elsevier
Snoring is a sleep disorder that may have adverse effects on an individual's health and
social activities. Polysomnography is the most common way to diagnose snoring but …

A study on the acoustic signal based frameworks for the real-time identification of geometrically defective wire arc bead

NA Surovi, AG Dharmawan… - … and Information in …, 2021 - asmedigitalcollection.asme.org
Abstract In Wire Arc Additive Manufacturing (WAAM), weld beads are deposited bead-by-
bead and layer-by-layer, leading to the final part. Thus, the lack of uniformity or geometrically …

Road-pavement classification by artificial neural network model based on tire-pavement noise and road-surface image

JK Lee, BK Kim, H Choi, SI Chang - Applied Acoustics, 2024 - Elsevier
This study focuses on an artificial neural network (ANN) model for classifying pavement
types using acoustic and image data. While conventional studies often use road-surface …

A study of machine learning framework for enabling early defect detection in wire arc additive manufacturing processes

NA Surovi, S Hussain, GS Soh - … and Information in …, 2022 - asmedigitalcollection.asme.org
This paper presents the study on the performance of a variety of proposed time-domain
acoustic features-based frameworks for the detection of geometrically defective print …

[PDF][PDF] Environmental noise classification using LDA, QDA and ANN methods

S Tanweer, A Mobin, A Alam - Indian Journal …, 2016 - sciresol.s3.us-east-2.amazonaws …
Environmental Noise Classification using LDA, QDA and ANN Methods Page 1 Indian
Journal of Science and Technology, Vol 9(33), DOI: 10.17485/ijst/2016/v9i33/95628 …

Optimize approach to voice recognition using iot

NP Patel, A Kale - 2018 International Conference On Advances …, 2018 - ieeexplore.ieee.org
Verbal communication is one of the best way to behaviors of proclamation for humans, to
give and take thought, feeling and relevant data. Speech is the most capable way to teach a …

A study on different linear and non-linear filtering techniques of speech and speech recognition

M Haque, K Bhattacharyya - ADBU Journal of …, 2019 - journals.dbuniversity.ac.in
In any signal noise is an undesired quantity, however most of thetime every signal get mixed
with noise at different levels of theirprocessing and application, due to which the information …

[PDF][PDF] A comparative Performance Analysis of LPC and MFCC for Noise Estimation in Speech Recognition Task

SS Khalid, S Tanweer, DA Mobin… - Int. J. Electron. Eng. Res, 2017 - academia.edu
From the days of adam and eve Speech plays an important means in communication
system, its recognition is truly a challenging task. Generally noise is an unwanted interface …

A novel audio representation using space filling curves

A Mari, A Salarian - arXiv preprint arXiv:2201.02805, 2022 - arxiv.org
Since convolutional neural networks (CNNs) have revolutionized the image processing field,
they have been widely applied in the audio context. A common approach is to convert the …

[PDF][PDF] Enhanced running spectrum analysis for robust speech recognition under adverse conditions: A case study on japanese speech

G Mufungulwa, H Tsutsui, Y Miyanaga… - ECTI Transactions on …, 2017 - thaiscience.info
In real environment, many noises degrade the performance of Automatic Speech
Recognition (ASR) systems. In addition, in case of similar pronunciations, it is not easy to …