Mid-level feature set for specific event and anomaly detection in crowded scenes. - Fernando de-la-Calle-Silos; Iván González-Díaz 001; Fernando Díaz-de-María (ICIP, 2013)

Deep Maxout Networks Applied to Noise-Robust Speech Recognition. - Fernando de-la-Calle-Silos; Ascensión Gallardo-Antolín; Carmen Peláez-Moreno (IberSPEECH, 2014)

ASR feature extraction with morphologically-filtered power-normalized cochleograms. - Fernando de-la-Calle-Silos; Francisco José Valverde Albacete; Ascensión Gallardo-Antolín; Carmen Peláez-Moreno (INTERSPEECH, 2014)

Preliminary experiments on the robustness of biologically motivated features for DNN-based ASR. - Fernando de-la-Calle-Silos; Francisco J. Valverde-Albacete; Ascensión Gallardo-Antolín; Carmen Peláez-Moreno (IWOBI, 2015)

Morphologically Filtered Power-Normalized Cochleograms as Robust, Biologically Inspired Features for ASR. - Fernando de-la-Calle-Silos; Francisco J. Valverde-Albacete; Ascensión Gallardo-Antolín; Carmen Peláez-Moreno (IEEE ACM Trans. Audio Speech Lang. Process., 2015)

An Analysis of Deep Neural Networks in Broad Phonetic Classes for Noisy Speech Recognition. - Fernando de-la-Calle-Silos; Ascensión Gallardo-Antolín; Carmen Peláez-Moreno (IberSPEECH, 2016)

Synchrony-Based Feature Extraction for Robust Automatic Speech Recognition. - Fernando de-la-Calle-Silos; Richard M. Stern (IEEE Signal Process. Lett., 2017)