Results 121 to 130 of about 113,849 (154)
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Computerized classification of temporomandibular joint sounds

IEEE Transactions on Biomedical Engineering, 2000
Sounds, 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
openaire   +2 more sources

Sound source classification

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 ...
openaire   +1 more source

Sparse Approximations for Drum Sound Classification

IEEE Journal of Selected Topics in Signal Processing, 2011
Up 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
openaire   +1 more source

Attention-Based Sound Classification Pipeline with Sound Spectrum

2023 IEEE Sensors Applications Symposium (SAS), 2023
Ki In Tan, Seanglidet Yean, Bu-Sung Lee
openaire   +1 more source

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
openaire   +1 more source

Automatic Classification of Musical Instrument Sounds

The Journal of the Acoustical Society of America, 1999
The 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.
openaire   +1 more source

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
openaire   +1 more source

The Use of Sound Symbolism in Sentiment Classification

2012
In this paper, we present a method for estimating the sentiment polarity of Japanese sentences including onomatopoeic words. Onomatopoeic words imitate the sounds they represent and can help us understand the sentiment of the sentence. Although there are many onomatopoeic words in Japanese, conventional sentiment classification methods have not taken ...
Takuma Igarashi   +3 more
openaire   +1 more source

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