Search Results - "Martínez, Angel Mario"

Milk yield and reproductive performance of Holstein cows testing positive for bovine tuberculosis by Mellado, Miguel, Reséndiz, Dulce, Martínez, Angel Mario, de Santiago, Maria Angeles, Véliz, Francisco Gerardo, García, Jose Eduardo

“…The objective of this study was to determine if high milk-yielding Holstein cows testing positive for bovine tuberculosis (bTB) are affected in their…”
Get full text

Prediction of speech intelligibility with DNN-based performance measures by Castro Martinez, Angel Mario, Spille, Constantin, Roßbach, Jana, Kollmeier, Birger, Meyer, Bernd T.

“…This paper presents a speech intelligibility model based on automatic speech recognition (ASR), combining phoneme probabilities from deep neural networks (DNN)…”
Get full text

DNN-based performance measures for predicting error rates in automatic speech recognition and optimizing hearing aid parameters by Castro Martinez, Angel Mario, Gerlach, Lukas, Payá-Vayá, Guillermo, Hermansky, Hynek, Ooster, Jasper, Meyer, Bernd T.

“…In several applications of machine listening, predicting how well an automatic speech recognition system will perform before the actual decoding enables the…”
Get full text

Molecular characterization of chromophobe renal cell carcinoma reveals mTOR pathway alterations in patients with poor outcome by Roldan-Romero, Juan María, Santos, María, Lanillos, Javier, Caleiras, Eduardo, Anguera, Georgia, Maroto, Pablo, García-Donas, Jesús, de Velasco, Guillermo, Martinez-Montes, Ángel Mario, Calsina, Bruna, Monteagudo, María, Letón, Rocío, Leandro-García, Luis Javier, Montero-Conde, Cristina, Cascón, Alberto, Robledo, Mercedes, Rodriguez-Antona, Cristina

“…Chromophobe renal cell carcinoma (chRCC) is a histologically and molecularly distinct class of rare renal tumor. TCGA studies revealed low mutational burden,…”
Get full text

Prediction of speech intelligibility with DNN-based performance measures by Martinez, Angel Mario Castro, Spille, Constantin, Roßbach, Jana, Kollmeier, Birger, Meyer, Bernd T

“…Computer Speech & Language, 74, p.101329 (2022) This paper presents a speech intelligibility model based on automatic speech recognition (ASR), combining…”
Get full text

DLST mutations in pheochromocytoma and paraganglioma cause proteome hyposuccinylation and metabolic remodeling by Mellid, Sara, García, Fernando, Leandro‐García, Luis Javier, Díaz‐Talavera, Alberto, Martínez‐Montes, Ángel Mario, Gil, Eduardo, Calsina, Bruna, Monteagudo, María, Letón, Rocío, Roldán‐Romero, Juan María, Santos, María, Lanillos, Javier, Valdivia, Carlos, Martínez‐Puente, Natalia, Nicolás‐Hernández, Javier, Jiménez, Scherezade, Pérez‐Martínez, Manuel, Honrado, Emiliano, Coloma, Javier, Cerezo, Ana, Santiveri, Clara María, Esteller, Manel, Campos‐Olivas, Ramón, Caleiras, Eduardo, Montero‐Conde, Cristina, Rodríguez‐Antona, Cristina, Muñoz, Javier, Robledo, Mercedes, Cascón, Alberto

“…Abbreviations PPGL pheochromocytoma and paraganglioma TCA tricarboxylic acid OGDH 2-oxoglutarate dehydrogenase OGDHc oxoglutarate dehydrogenase complex SucCoA…”
Get full text

Performance monitoring for automatic speech recognition in noisy multi-channel environments by Meyer, Bernd T., Mallidi, Sri Harish, Castro Martinez, Angel Mario, Paya-Vaya, Guillermo, Kayser, Hendrik, Hermansky, Hynek

“…In many applications of machine listening it is useful to know how well an automatic speech recognition system will do before the actual recognition is…”
Get full text

On the relevance of auditory-based Gabor features for deep learning in robust speech recognition by Castro Martinez, Angel Mario, Mallidi, Sri Harish, Meyer, Bernd T.

“…•DNN-based speech recognition greatly benefits from spectro-temporal Gabor features.•Gabor filters with high temporal modulation encode the most relevant…”
Get full text

On the Relevance of Auditory-Based Gabor Features for Deep Learning in Automatic Speech Recognition by Martinez, Angel Mario Castro, Mallidi, Sri Harish, Meyer, Bernd T

“…Previous studies support the idea of merging auditory-based Gabor features with deep learning architectures to achieve robust automatic speech recognition,…”
Get full text