Results 251 to 260 of about 860,247 (286)
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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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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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Computerized classification of temporomandibular joint sounds
IEEE Transactions on Biomedical Engineering, 2000Sounds, such as clicking and/or crepitation, evoked in the temporomandibular (jaw) joint during function may indicate pathology. Analysis of the reduced interference time-frequency distribution of these sounds is of diagnostic value. However, visual evaluation is expensive and error prone, and there is, thus, a need for automated analysis.
Dragan Djurdjanovic +4 more
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Sparse Approximations for Drum Sound Classification
IEEE Journal of Selected Topics in Signal Processing, 2011Up to now, there has only been little work on using features from temporal approximations of signals for audio recognition. Time-frequency tradeoffs are an important issue in signal processing; sparse representations using overcomplete dictionaries may (or may not, depending on the dictionary) have more time-frequency flexibility than standard short ...
Simon Scholler, Hendrik Purwins
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Bird classification based on their sound patterns
International Journal of Speech Technology, 2016In this paper we focus on automatic bird classification based on their sound patterns. This is useful in the field of ornithology for studying bird species and their behavior based on their sound. The proposed methodology may be used to conduct survey of birds.
M. A. Raghuram +3 more
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Automatic Classification of Musical Instrument Sounds
The Journal of the Acoustical Society of America, 1999The aim of the present study is to show that the process of automatic classification of musical instrument sounds is possible on the basis of a limited number of parameters. However, due to the complexity as well as to the unrepeatable nature of musical sounds, both steady and transient states should be taken into account while creating feature vectors.
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Analysis and Automatic Classification of Breath Sounds
IEEE Transactions on Biomedical Engineering, 1984Analysis of breath sounds (auscultation) is an important part of the diagnosis of pulmonary diseases. An automatic breathsounds classification scheme is suggested. Types of normal and abnormal breath sounds are classified, with the goal of providing the physician with a diagnostic assist device. The classification is performed in two levels.
A, Cohen, D, Landsberg
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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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Attention-Based Sound Classification Pipeline with Sound Spectrum
2023 IEEE Sensors Applications Symposium (SAS), 2023Ki In Tan, Seanglidet Yean, Bu-Sung Lee
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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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