131 citations · 212 across the 4 of their papers we have counts for
4 papers
On combining acoustic and modulation spectrograms in an attention LSTM-based system for speech intelligibility level classification
Ascensión Gallardo-Antolín, Juan M. Montero
Speech intelligibility can be affected by multiple factors, such as noisy environments, channel distortions or physiological issues. In this work, we deal with the problem of autom…
An Attention Long Short-Term Memory based system for automatic classification of speech intelligibility
Miguel Fernández-Díaz, Ascensión Gallardo-Antolín
Speech intelligibility can be degraded due to multiple factors, such as noisy environments, technical difficulties or biological conditions. This work is focused on the development…
Automatic Detection of Depression in Speech Using Ensemble Convolutional Neural Networks
Adrián Vázquez-Romero, Ascensión Gallardo-Antolín
This paper proposes a speech-based method for automatic depression classification. The system is based on ensemble learning for Convolutional Neural Networks (CNNs) and is evaluate…
Enhancement of a Text-Independent Speaker Verification System by using Feature Combination and Parallel-Structure Classifiers
Kerlos Atia Abdalmalak, Ascensión Gallardo-Antol'in
Speaker Verification (SV) systems involve mainly two individual stages: feature extraction and classification. In this paper, we explore these two modules with the aim of improving…