A. Gallardo-Antolín

发表

Emergency Department Visit Forecasting and Dynamic Nursing Staff Allocation Using Machine Learning Techniques With Readily Available Open-Source Software

A. Zlotnik, A. Gallardo-Antolín, Miguel Cuchí Alfaro, 2015, Computers, informatics, nursing : CIN.

Agents in decentralised information ecosystems:the diet approach

Manolis Koubarakis, Á. Navia-Vázquez, N. Skarmeas, 2001 .

A comparison of front-ends for bitstream-based ASR over IP

Carmen Peláez-Moreno, A. Gallardo-Antolín, F. Díaz-de-María, 2006, Signal Process..

EXCHANGING USER PROFILES TO CONNECT PEERS IN DISTRIBUTED SYSTEMS

Á. Navia-Vázquez, A. Figueiras-Vidal, Jesús Cid-Sueiro, 2003 .

Building a Decision Support System for Inpatient Admission Prediction With the Manchester Triage System and Administrative Check-in Variables

Ascensión Gallardo-Antolín, Alexander Zlotnik, A. Zlotnik, 2016, Computers, informatics, nursing : CIN.

Deep Residual Networks with Auditory Inspired Features for Robust Speech Recognition

Carmen Peláez-Moreno, A. Gallardo-Antolín, F. de-la-Calle-Silos, 2017 .

Auditory-inspired Morphological Processing of Spectrograms for Speech Processing

Carmen Peláez-Moreno, A. Gallardo-Antolín, Joyner Cadore, 2011 .

2nd International Workshop on Speech, Language and Audio in Multimedia (SLAM2014)

Simon King, Junichi Yamagishi, Javier Ferreiros, 2014 .

Automatic placement of outer volume suppression slices in MR spectroscopic imaging of the human brain

Jesús Cid-Sueiro, Ascensión Gallardo-Antolín, Weili Zheng, 2010, Magnetic resonance in medicine.

SVMs for Automatic Speech Recognition: A Survey

Carmen Peláez-Moreno, Fernando Díaz-de-María, Ascensión Gallardo-Antolín, 2005, WNSP.

SVM classifiers for ASR: A discussion about parameterization

Fernando Pérez-Cruz, Carmen Peláez-Moreno, Fernando Díaz-de-María, 2004, 2004 12th European Signal Processing Conference.

SVM-based lost packets concealment for ASR applications over IP

Carmen Peláez-Moreno, Emilio Parrado-Hernández, Fernando Díaz-de-María, 2002, 2002 11th European Signal Processing Conference.

Robust ASR using Support Vector Machines

Carmen Peláez-Moreno, Fernando Díaz-de-María, Ascensión Gallardo-Antolín, 2007, Speech Commun..

Some experiments on speaker-independent isolated digit recognition using SVM classifiers

Fernando Pérez-Cruz, Carmen Peláez-Moreno, Fernando Díaz-de-María, 2003, NOLISP.

Morphologically Filtered Power-Normalized Cochleograms as Robust, Biologically Inspired Features for ASR

Francisco J. Valverde-Albacete, Carmen Peláez-Moreno, Ascensión Gallardo-Antolín, 2015, IEEE/ACM Transactions on Audio, Speech, and Language Processing.

On combining acoustic and modulation spectrograms in an attention LSTM-based system for speech intelligibility level classification

Juan Manuel Montero-Martínez, Ascensión Gallardo-Antolín, J. Montero-Martínez, 2021, Neurocomputing.

An attention Long Short-Term Memory based system for automatic classification of speech intelligibility

Ascensión Gallardo-Antolín, Miguel Fernández-Díaz, A. Gallardo-Antolín, 2020, Eng. Appl. Artif. Intell..

Automatic Detection of Depression in Speech Using Ensemble Convolutional Neural Networks

Ascensión Gallardo-Antolín, Adrián Vázquez-Romero, A. Gallardo-Antolín, 2020, Entropy.

Detecting Deception from Gaze and Speech Using a Multimodal Attention LSTM-Based Framework

Ascensión Gallardo-Antolín, Juan Manuel Montero, J. Montero, 2021, Applied Sciences.

A simulated annealing approach to speaker segmentation in audio databases

Antonio Artés-Rodríguez, Sancho Salcedo-Sanz, Ascensión Gallardo-Antolín, 2008, Eng. Appl. Artif. Intell..

External Attention LSTM Models for Cognitive Load Classification from Speech

Juan Manuel Montero-Martínez, Ascensión Gallardo-Antolín, J. Montero-Martínez, 2019, SLSP.

A Saliency-Based Attention LSTM Model for Cognitive Load Classification from Speech

Juan Manuel Montero-Martínez, Ascensión Gallardo-Antolín, J. Montero-Martínez, 2019, INTERSPEECH.

Echoic log-surprise: A multi-scale scheme for acoustic saliency detection

Carmen Peláez-Moreno, Ascensión Gallardo-Antolín, Antonio Rodriguez-Hidalgo, 2018, Expert Syst. Appl..

The Robustness of Echoic Log-Surprise Auditory Saliency Detection

Carmen Peláez-Moreno, Ascensión Gallardo-Antolín, Antonio Rodríguez-Hidalgo, 2018, IEEE Access.

Feature extraction based on the high-pass filtering of audio signals for Acoustic Event Classification

Jimmy Ludeña-Choez, Ascensión Gallardo-Antolín, A. Gallardo-Antolín, 2015, Comput. Speech Lang..

Temporal segmentation and keyframe selection methods for user-generated video search-based annotation

Fernando Díaz-de-María, Ascensión Gallardo-Antolín, Iván González-Díaz, 2015, Expert Syst. Appl..

Random forest-based prediction of parkinson's disease progression using acoustic, ASR and intelligibility features

Rubén San-Segundo-Hernández, Juan Manuel Montero-Martínez, Ascensión Gallardo-Antolín, 2015, INTERSPEECH.

An Auditory Saliency Pooling-Based LSTM Model for Speech Intelligibility Classification

Ascensión Gallardo-Antolín, Juan M. Montero, J. Montero, 2021, Symmetry.

A Comparison of Multivariate SARIMA and SVM Models for Emergency Department Admission Prediction

Juan Manuel Montero-Martínez, Ascensión Gallardo-Antolín, Alexander Zlotnik, 2013, HEALTHINF.

Acoustic Event Classification using spectral band selection and Non-Negative Matrix Factorization-based features

Jimmy Ludeña-Choez, Ascensión Gallardo-Antolín, A. Gallardo-Antolín, 2016, Expert Syst. Appl..

Respiratory Sound Classification Using an Attention LSTM Model with Mixup Data Augmentation

A. Gallardo-Antolín, Noelia Salor-Burdalo, 2022, IberSPEECH Conference.

FILTERING THE SPECTRAL PARAMETERS TO MITIGATE THE INFLUENCE OF TRANSMISSION ERRORS ON ASR SYSTEMS

Carmen Peláez-Moreno, A. Gallardo-Antolín, J. Vicente-Peña, 2021 .

Enhancement of a text-independent speaker verification system by using feature combination and parallel structure classifiers

Ascensión Gallardo-Antolín, Kerlos Atia Abdalmalak, A. Gallardo-Antolín, 2018, Neural Computing and Applications.

Data Augmentation for Speaker Identification under Stress Conditions to Combat Gender-Based Violence

Carmen Peláez-Moreno, Ascensión Gallardo-Antolín, Esther Rituerto-González, 2019, Applied Sciences.

Elastic net regularization and gabor dictionary for classification of heart sound signals using deep learning

A. Gallardo-Antolín, M. Fakhry, 2024, Eng. Appl. Artif. Intell..

Auditory-Inspired Morphological Processing of Speech Spectrograms: Applications in Automatic Speech Recognition and Speech Enhancement

Francisco J. Valverde-Albacete, Carmen Peláez-Moreno, Ascensión Gallardo-Antolín, 2013, Cognitive Computation.

Recognizing GSM digital speech

Carmen Peláez-Moreno, Fernando Díaz-de-María, Ascensión Gallardo-Antolín, 2005, IEEE Transactions on Speech and Audio Processing.

Avoiding distortions due to speech coding and transmission errors in GSM ASR tasks

Francisco J. Valverde-Albacete, Fernando Díaz-de-María, Ascensión Gallardo-Antolín, 1999, 1999 IEEE International Conference on Acoustics, Speech, and Signal Processing. Proceedings. ICASSP99 (Cat. No.99CH36258).

Recognition from GSM digital speech

Francisco J. Valverde-Albacete, Fernando Díaz-de-María, Ascensión Gallardo-Antolín, 1998, ICSLP.

Recognizing voice over IP: a robust front-end for speech recognition on the world wide web

Carmen Peláez-Moreno, Fernando Díaz-de-María, Ascensión Gallardo-Antolín, 2001, IEEE Trans. Multim..