Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Jose Lainez"'
When a sufficiently large far-field training data is presented, jointly optimizing a multichannel frontend and an end-to-end (E2E) Automatic Speech Recognition (ASR) backend shows promising results. Recent literature has shown traditional beamformer
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::60c8efbe738419d55ab97cad279d2712
Autor:
Jorge Álvarez de la Cadena-Sillas, Enrique Asensio-Lafuente, David Martínez-Dunker, Agustín Urzúa-González, Manuel Celaya-Cota, Luisa F. Aguilera-Mora, José Lainez-Zelaya, Lillian Hernández-Garcia, Erik H. González-Cruz
Publikováno v:
Archivos de Cardiología de México, Vol 94, Iss 2 (2024)
La muerte súbita cardíaca (SCD) es un acontecimiento común. El paro cardiaco extrahospitalario (OHCA) es un problema de salud pública mundial que sufren ≈3.8 millones de personas al año. Se ha avanzado en el conocimiento de esta enfermedad, su
Externí odkaz:
https://doaj.org/article/30c2b87f9387428d8b03ee52c09ac751
Autor:
Dushyant Sharma, Daniel A. Barreda, Jose Lainez, Toon van Waterschoot, Pablo Peso Parada, Patrick A. Naylor
Several intrusive measures of reverberation can be computed from measured and simulated room impulse responses, over the full frequency band or for each individual mel-frequency subband. It is initially shown that full-band clarity index ${\rm{C}}_{5
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::95217fd27e63cba1c0332059765202c3
http://hdl.handle.net/10044/1/32153
http://hdl.handle.net/10044/1/32153
Publikováno v:
GlobalSIP
We present NISQ, a data-driven non-intrusive speech quality measure that has been trained to predict the PESQ score for a given speech signal. NISQ is based on feature extraction and a binary tree regression based model. A training method using the i
Autor:
Jose Lainez, Daniel A. Barreda, Dushyant Sharma, Pablo Peso Parada, T. van Waterschoot, Patrick A. Naylor
Publikováno v:
IWAENC
The problem of blind estimation of the room acoustic clarity index C 50 from single-channel reverberant speech signals is presented in this paper. We analyze the performance of several machine learning methods for a regression task using 309 features
Autor:
José Ramón Calvo de Lara, Antonio Miguel Artiaga, Jose Lainez, Dayana Ribas González, Eduardo Lleida Solano
Publikováno v:
Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications ISBN: 9783642332746
CIARP
CIARP
This paper presents a formant frequency tracking algorithm for continuous speech processing. First, it uses spectral information for generating frequency candidates. For this purpose, the roots of the polynomial of a Linear Predictive Coding (LPC) an
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3ec6595401a2dd5474d24eebbb16dca1
https://doi.org/10.1007/978-3-642-33275-3_92
https://doi.org/10.1007/978-3-642-33275-3_92
Autor:
Devaraj Jayachandran, José Laínez-Aguirre, Ann Rundell, Terry Vik, Robert Hannemann, Gintaras Reklaitis, Doraiswami Ramkrishna
Publikováno v:
PLoS ONE, Vol 10, Iss 7, p e0133244 (2015)
6-Mercaptopurine (6-MP) is one of the key drugs in the treatment of many pediatric cancers, auto immune diseases and inflammatory bowel disease. 6-MP is a prodrug, converted to an active metabolite 6-thioguanine nucleotide (6-TGN) through enzymatic r
Externí odkaz:
https://doaj.org/article/336c7cb46eb047bbaae3a53985e7944f