Results 211 to 220 of about 45,066 (261)

Automated classification of conversation valence and arousal using autonomic nervous system responses. [PDF]

Front Neurosci
Chatterjee I, Miller BAJ, Clapp JD, Novak VD.   +3 more
europepmc   +1 more source

A Federated Approach for Adaptive Urban Sound Classification on TinyML Edge Devices. [PDF]

Sensors (Basel)
Trigkas A, Piromalis D, Papageorgas P.
europepmc   +1 more source

Artificial Intelligence Revolution: The Need for a Regulatory and Governance Framework in Dentistry

Journal of Dental Education, EarlyView.
Ehsan Jozaghi
wiley   +1 more source

ATF-MGIAM: Medically-guided interpretable attention mapping for robust pertussis cough sound recognition. [PDF]

PLoS One
Zhang S, Xu Y, Xiao Y.
europepmc   +1 more source

A Synchronous Triggering Method for Impact Artificial Seismic Source and Seismographs Based on Non-Contact Audio Detection. [PDF]

Sensors (Basel)
Wang W, Yang Y, Wang S, Wang Z, Hu J, Shi Y, Fu Z.   +6 more
europepmc   +1 more source

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Automatic Classification of Audio Uroflowmetry with a Smartwatch

2022 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC), 2022
Prior work has shown the classification of voiding dysfunctions from uroflowmeter data using machine learning. We present the use of smartwatch audio, collected through the UroSound platform, in order to automatically classify voiding signals as normal or abnormal, using classical machine learning techniques.
Girish Narayanswamy, Laura Arjona, Luis Enrique Díez, Alfonso Bahillo, Shwetak N. Patel   +4 more
openaire   +2 more sources

Dominant Audio Descriptors for Audio Classification and Retrieval

2009 International Conference on Machine Learning and Applications, 2009
In this paper, we propose a new general low-level feature representation for audio signals. Our approach, called Dominant Audio Descriptor is inspired by the MPEG-7 Dominant Color Descriptor. It is based on clustering timelocal features and identifying dominant components.
Aleksey Fadeev, Oualid Missaoui, Hichem Frigui   +2 more
openaire   +1 more source

Automatic classification of audio data

2004 IEEE International Conference on Systems, Man and Cybernetics (IEEE Cat. No.04CH37583), 2005
In this work a novel content-based musical genre classification approach that uses combination of classifiers is proposed. First, musical surface features and beat related features are extracted from different segments of digital music in MP3 format. Three 15-dimensional feature vectors are extracted from three different parts of a music clip and three
Carlos Humberto Lopes Costa, Jaime Dalla Valle, Alessandro L. Koerich   +2 more
openaire   +1 more source

Stereo audio classification for audio enhancement

2011 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2011
Stereo audio enhancement and upmixing techniques require spatial analysis of the mixture in order to work optimally for different types of contents. In this paper a method is proposed which classifies the time-frequency regions in stereo audio data into six different classes.
openaire   +1 more source

Automated Data Augmentation for Audio Classification

IEEE/ACM Transactions on Audio Speech and Language Processing
Qinghua Pan, Bo Ding, Huaimin Wang
exaly   +2 more sources