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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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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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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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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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Research on sound classification based on SVM
Neural Computing and Applications, 2019Sound is a ubiquitous natural phenomenon that contains a wealth of information that constantly enhances our understanding of the objective world. With the continuous development of computer network technology and communication technology, audio information has become a very important part.
Pengcheng Wei +3 more
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The Use of Sound Symbolism in Sentiment Classification
2012In 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
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Problems with Automatic Classification of Musical Sounds
2003Convenient searching of multimedia databases requires well annotated data. Labeling sound data with information like pitch or timbre must be done through sound analysis. In this paper, we deal with the problem of automatic classification of musical instrument on the basis of its sound.
Alicja Wieczorkowska +3 more
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Classification of Sounds Indicative of Respiratory Diseases
2019This work presents a system achieving classification of respiratory sounds directly related to various diseases of the human respiratory system, such as asthma, COPD, and pneumonia. We designed a feature set based on wavelet packet analysis characterizing data coming from four sound classes, i.e. crack, wheeze, normal, crack+wheeze.
Stavros Ntalampiras, Ilyas Potamitis
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