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Domestic Sound Classification with Deep Learning
2023 IEEE Sensors Applications Symposium (SAS), 2023Smart sensing and AI technologies are playing an increasingly important role in supporting aging in place, including embedded microphone devices that can contribute to safety by recognizing home events that need attention. In this work, we study sound event detection through classifying different sources of sounds.
Zhenyu Zhang +7 more
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The classification of ringing sounds
International Conference on Acoustics, Speech, and Signal Processing, 2002The problem of ringing sound (e.g. telephone, alarm clock, etc.) classification is addressed. A time-domain model, exhibiting the phenomenon of interference is found to have behavior similar to that exhibited by a telephone ringing sound. This motivates a frequency-domain production model which asserts that ringing sounds can be modeled as bandpass ...
Michael J. Paradie, S. Hamid Nawab
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Multi-channel Classification of Respiratory Sounds
2006 International Conference of the IEEE Engineering in Medicine and Biology Society, 2006In this study, respiratory sounds of pathological and healthy subjects were analyzed via frequency spectrum and AR model parameters with a view to construct a diagnostic aid based on auscultation. Each subject is represented by 14 channels of respiratory sound data of a single respiration cycle.
Cemile Asli Yilmaz, Yasemin P. Kahya
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Classification of Complex Sounds
1991Abstract : The work accomplished during the period, 11/1/90 - 10/30/91, involves the use of COSS analysis to estimate weights in various profile analysis tasks. This technique is a method for investigating how spectral information is used by listeners to discriminate complex sounds.
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Cluster analysis and classification of heart sounds
Biomedical Signal Processing and Control, 2009Acoustic heart signals, generated by the mechanical processes of the cardiac cycle, carry significant information about the underlying functioning of the cardiovascular system. We describe a computational analysis framework for identifying distinct morphologies of heart sounds and classifying them into physiological states.
Guy Amit, Noam Gavriely, Nathan Intrator
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Analysis of the perception and classification of synthetic sounds
Computers and Biomedical Research, 1979Abstract Sparse acoustic stimuli (SAS), with speech-like features, measure cortical auditory processing. Perceptions of SAS by normal subjects and patients can be arranged in multidimensional contingency tables and tested for departure from homogeneity.
J W, Drane, D M, Daly, D D, Daly
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Automated classification of swallowing and breadth sounds
The 26th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2005The goal of this study was to develop an automated and objective method to separate swallowing sounds from breath sounds. Swallowing sound detection can be utilized as part of a system for swallowing mechanism assessment and diagnosis of swallowing dysfunction (dysphagia) by acoustical means. In this study, an algorithm based on multilayer feed forward
Mohammad, Aboofazeli, Zahra, Moussavi
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The Journal of the Acoustical Society of America, 2007
A system and method to identify a sound source among a group of sound sources. The invention matches the acoustic input to a number of signal models, one per source class, and produces a goodness-of-match number for each signal model. The sound source is declared to be of the same class as that of the signal model with the best goodness-of-match if ...
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A system and method to identify a sound source among a group of sound sources. The invention matches the acoustic input to a number of signal models, one per source class, and produces a goodness-of-match number for each signal model. The sound source is declared to be of the same class as that of the signal model with the best goodness-of-match if ...
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Mosquito sounds classification
This repository contains the mosquito sound database used in our paper. The dataset consists of two parts: Our own recorded custom data Selected mosquito sound data from ABUZZ All audio clips are extracted from raw recordings and contain mosquito sounds in 1-second segments. These data were prepared for the paper we submitted.Bánhalmi, András +6 more
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Classification of Snoring Sounds
2021— Snoring is a disturbance in breathing caused byair flow caused by tissue vibration in different parts of the upperrespiratory tract during sleep. It can be a symptom of a seriousillness such as sleep apnea. For this reason, it is of greatimportance that the origin of snoring sounds is determined andtreated correctly. In this study, the MPSSC data set
Kılıç, Rabiye +4 more
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