Zobrazeno 1 - 10
of 12
pro vyhledávání: '"Jimmy Ludeña-Choez"'
Publikováno v:
PLoS ONE, Vol 12, Iss 6, p e0179403 (2017)
Feature extraction for Acoustic Bird Species Classification (ABSC) tasks has traditionally been based on parametric representations that were specifically developed for speech signals, such as Mel Frequency Cepstral Coefficients (MFCC). However, the
Externí odkaz:
https://doaj.org/article/6445c69f8873483697d6217b981dff9d
Autor:
Jimmy Ludeña-Choez, Juan J. Choquehuanca-Zevallos, Alex Yasmany-Juarez, Efraín Mayhua-López, Julia Zea, María Elena Talavera-Núñez, Jorge L. Magallanes-Magallanes, H. Saúl Pérez-Montaño
Publikováno v:
Computers and Electronics in Agriculture. 202:107361
Publikováno v:
Computers and Electronics in Agriculture. 161:214-224
Nowadays, Wireless Sensor Networks (WSN) are widely been employed to solve agricultural problems related to the optimization of scarce farming resources, decision making support, and land monitoring. However, the small sensing devices that are part o
Autor:
Jimmy Ludeña-Choez, Zenin J. Vasqucz-Villar, Juan J. Choquehuanca-Zevallos, Efrain Mayhua-Lopez
Publikováno v:
ICSET
Among biometric systems for user identification, finger vein patterns captured in the infrared spectrum have shown to be relevant for identifying users; and, in this way to provide a high level and low-cost security system. Unfortunately, the extract
Autor:
F.A. Huamán-Mamani, Jimmy Ludeña-Choez, Rudy M. Sanchez-Suarez, Juan J. Choquehuanca-Zevallos, D.L. Mayta-Ponce
Publikováno v:
2018 IEEE MTT-S Latin America Microwave Conference (LAMC 2018).
In this paper, a classification system of the degree of porosity of ceramic materials based on a Radio Frequency system is presented. The system uses methods from the machine learning field to learn patterns from spectral features measured with a cir
Publikováno v:
2018 International Conference on Electromagnetics in Advanced Applications (ICEAA).
Several properties of ceramic materials such as mechanical strength, acoustical characteristics, etc. are related to their degree of porosity. Traditional methods to estimate the porosity of materials used in construction are two slow and tedious to
Publikováno v:
e-Archivo. Repositorio Institucional de la Universidad Carlos III de Madrid
instname
e-Archivo: Repositorio Institucional de la Universidad Carlos III de Madrid
Universidad Carlos III de Madrid (UC3M)
PLoS ONE, Vol 12, Iss 6, p e0179403 (2017)
PLoS ONE
instname
e-Archivo: Repositorio Institucional de la Universidad Carlos III de Madrid
Universidad Carlos III de Madrid (UC3M)
PLoS ONE, Vol 12, Iss 6, p e0179403 (2017)
PLoS ONE
Feature extraction for Acoustic Bird Species Classification (ABSC) tasks has traditionally been based on parametric representations that were specifically developed for speech signals, such as Mel Frequency Cepstral Coefficients (MFCC). However, the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9d3fdd2c3349f067325e43610c68f8c6
http://hdl.handle.net/10016/31501
http://hdl.handle.net/10016/31501
Publikováno v:
e-Archivo. Repositorio Institucional de la Universidad Carlos III de Madrid
instname
e-Archivo: Repositorio Institucional de la Universidad Carlos III de Madrid
Universidad Carlos III de Madrid (UC3M)
instname
e-Archivo: Repositorio Institucional de la Universidad Carlos III de Madrid
Universidad Carlos III de Madrid (UC3M)
We propose a new front-end for Acoustic Event Classification tasks (AEC).It consists of two stages: short-time feature extraction and temporal integration.The first module relies on mutual information-based frequency band selection.The second module
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::30e7c128971f0f95945c6c0c826a11a5
http://hdl.handle.net/10016/31506
http://hdl.handle.net/10016/31506
Publikováno v:
e-Archivo. Repositorio Institucional de la Universidad Carlos III de Madrid
instname
instname
HighlightsWe propose a new front-end for Acoustic Event Classification tasks (AEC).The proposed front-end relies on the high pass filtering of acoustic event signals.Results show that it outperforms the baseline system in clean and noisy conditions.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0aff6df83e69d6a9e3defb05e47b35da
http://hdl.handle.net/10016/21548
http://hdl.handle.net/10016/21548
Publikováno v:
Advances in Nonlinear Speech Processing ISBN: 9783642388460
NOLISP
e-Archivo. Repositorio Institucional de la Universidad Carlos III de Madrid
instname
NOLISP
e-Archivo. Repositorio Institucional de la Universidad Carlos III de Madrid
instname
Proceedings of: 6th International Conference The Non-Linear Speech Processing (NOLISP 2013). Mons, Belgium, June 19-21, 2013. In this paper, we propose a new front-end for Acoustic Event Classification tasks (AEC). First, we study the spectral conten
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a474de3fd0059758b573d6d0237e1696
https://hdl.handle.net/10016/21529
https://hdl.handle.net/10016/21529