Results 191 to 200 of about 3,633,480 (246)

Spoof detection with dynamic learnable sparse attention and tri-modal fusion in resource-constrained audio systems. [PDF]

PLoS One
Wang X, Tan Z, Li G.
europepmc   +1 more source

Detection of atrial fibrillation via artificial intelligence-assisted auscultation. [PDF]

BMC Cardiovasc Disord
Guo Y, Lin H, Chen H, Wu X, Luo Y.
europepmc   +1 more source

Advances in Audio Classification and Artificial Intelligence for Respiratory Health and Welfare Monitoring in Swine. [PDF]

Biology (Basel)
Sharifuzzaman M, Mun HS, Lagua EB, Hasan MK, Kang JG, Kim YH, Mehtab A, Park HR, Yang CJ.   +8 more
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

A comparative between Mel Frequency Cepstral Coefficients (MFCC) and Inverse Mel Frequency Cepstral Coefficients (IMFCC) features for an Automatic Bird Species Recognition System

2018 IEEE Latin American Conference on Computational Intelligence (LA-CCI), 2018
In this paper a comparative between Mel Frequency Cepstral Coefficients (MFCC) and Inverse Mel Frequency Cepstral Coefficients (IMFCC) features for an automatic bird species recognition system is proposed with the aim to validate IMFCC as a feature that can also be extracted for bird species recognition.
Aldonso Becerra
exaly   +5 more sources

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Indirect health monitoring of bridges using Mel-frequency cepstral coefficients and principal component analysis

Mechanical Systems and Signal Processing, 2019
Bridge health monitoring is a very important part for infrastructure maintenance. Traditional bridge health monitoring techniques require sensors to be installed on bridges, which is costly and time consuming.
Mustafa Gul, Qipei Mei
exaly   +2 more sources

Mel-frequency Cepstral Coefficients for Eye Movement Identification

2012 IEEE 24th International Conference on Tools with Artificial Intelligence, 2012
Human identification is an important task for various activities in society. In this paper, we consider the problem of human identification using eye movement information. This problem, which is usually called the eye movement identification problem, can be solved by training a multiclass classification model to predict a person's identity from his or ...
Viet Cuong Nguyen, Vu C. Dinh, Lam Si Tung Ho   +2 more
openaire   +3 more sources

Retracted: Audio Detection using Mel-frequency Cepstral Coefficients

2021 9th International Conference on Reliability, Infocom Technologies and Optimization (Trends and Future Directions) (ICRITO), 2021
The lack of benchmark findings for comparison with any suggested approach is one of the most fundamental challenges in sound event detection research.
Uppu Jithendra, Usha Mittal, Priyanka Chawla   +2 more
openaire   +2 more sources