Zobrazeno 1 - 10
of 11
pro vyhledávání: '"Christian Arcos"'
Publikováno v:
1er Congreso Universal de las Ciencias y la Investigación.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::bd967e9bd1dd2377aace7b6b9f03ed50
https://doi.org/10.5867/medwave.2022.s2.uta067
https://doi.org/10.5867/medwave.2022.s2.uta067
Publikováno v:
2021 XXIII Symposium on Image, Signal Processing and Artificial Vision (STSIVA).
Image restoration or generation covers a range of important image inverse problems that aim to enhance a degraded image to obtain a restored image dataset. Several techniques based on deep learning have been developed for solving inverse problems. Ho
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0301ac06903a9cce324a267e7df7cfb1
https://doi.org/10.1109/stsiva53688.2021.9591668
https://doi.org/10.1109/stsiva53688.2021.9591668
Publikováno v:
IJCNN
Degradation of speech signal due to adverse conditions is the major challenge for automatic speech recognition (ASR) systems. This paper introduces a novel approach to estimate an Ideal Neighbourhood Mask (INM) for speech segregation based on deep ne
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::51b20be94ced87bd7574c2813c370eb9
https://doi.org/10.1109/ijcnn.2019.8852363
https://doi.org/10.1109/ijcnn.2019.8852363
Publikováno v:
Anais de XXXVI Simpósio Brasileiro de Telecomunicações e Processamento de Sinais.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4db5ea0c1c451e662bbe7aed8f2fbcbf
https://doi.org/10.14209/sbrt.2018.61
https://doi.org/10.14209/sbrt.2018.61
In this paper, we present a wavelet coefficients masking based on Local Binary Patterns (WLBP) approach to enhance the temporal spectra of the wavelet coefficients for speech enhancement. This technique exploits the wavelet denoising scheme, which sp
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8cffd9b3247d5129254d1fa0395dbfe1
Publikováno v:
EUSIPCO
The nonlinear distortion in the cepstral coefficients domain introduced by additive noise in the speech signal, results in high degradation performance in systems of Automatic Speech Recognition (ASR). For this reason, we propose a median filter whic
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0d3c0ff033c7efdb7dc91e91a2b84e23
https://doi.org/10.1109/eusipco.2016.7760438
https://doi.org/10.1109/eusipco.2016.7760438
Publikováno v:
2014 International Telecommunications Symposium (ITS).
One of the biggest problems of a speech recognition system is the signal degradation due to adverse conditions. Such situations usually lead to mismatch between the test conditions and the training data, caused by non-linear distortion. The authors p
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5a6eede3358dca315b09821a9570a0de
https://doi.org/10.1109/its.2014.6948038
https://doi.org/10.1109/its.2014.6948038
Publikováno v:
ChinaSIP
The degradation of the speech signal due to adverse conditions generates low accuracy rates in speech recognition systems. The authors propose mixing two methods: pre-extraction of features for speech enhancement and post-extraction of features for f
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2f28ee1673313ff8d4f8d46c5688b227
https://doi.org/10.1109/chinasip.2014.6889195
https://doi.org/10.1109/chinasip.2014.6889195
Publikováno v:
Anais de XXXI Simpósio Brasileiro de Telecomunicações.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5c6930dcb53196a492d8deb66371f3c2
https://doi.org/10.14209/sbrt.2013.210
https://doi.org/10.14209/sbrt.2013.210
Publikováno v:
2016 24th European Signal Processing Conference (EUSIPCO); 2016, p1198-1201, 4p