( en | de | ru )

 

Disambiguation of "Gómez, Luis A. Hernández"

Author of the publication

copydeleteadd this publication to your clipboard
GMM-based Classifiers for the Automatic Detection of Obstructive Sleep Apnea.

, , , , and . BIOSIGNALS, page 364-367. SciTePress, (2013)

Please choose a person to relate this publication to

To differ between persons with the same name, the academic degree and the title of an important publication will be displayed. You can also use the button next to the name to display some publications already assigned to the person.

Claudia Liliana Gómez Hernández

José Luis Hernández-López

Luis Alfredo Hernández Romero

Juan Luis Hernández Carabias

Gerardo Gómez Gonzáles

 

Other publications of authors with the same name

A collaborative approach to the design and evaluation of an interactive learning tool for children with special educational needs., , , , and . IDC, page 226-229. ACM, (2010)Dialogue Annotation for Language Systems Evaluation., , , , and . LREC, European Language Resources Association, (2000)Non-verbal communication strategies to improve robustness in dialogue systems: a comparative study., , , and . J. Multimodal User Interfaces, 3 (4): 285-297 (2009)Discriminative training of GMM for speaker identification., , , and . ICASSP, page 89-92. IEEE Computer Society, (1996)An experimental platform for large-scale research facing FI-IoT scenarios., , , and . Future Network & Mobile Summit, page 1-8. IEEE, (2011)Assessment of Severe Apnoea through Voice Analysis, Automatic Speech, and Speaker Recognition Techniques., , , , , and . EURASIP J. Adv. Signal Process., (2009)Unsupervised training of HMMs with variable number of mixture components per state., , , and . ICSLP, ISCA, (1998)Automatic data-driven prosodic modeling for text-to-speech., and . EUROSPEECH, page 585-588. ISCA, (1995)Speech Signal and Facial Image Processing for Obstructive Sleep Apnea Assessment., , , , , and . Comput. Math. Methods Medicine, (2015)Audio-Visual Emotion Recognition System for Variable Length Spatio-Temporal Samples Using Deep Transfer-Learning., and . BIS, volume 389 of Lecture Notes in Business Information Processing, page 434-446. Springer, (2020)