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2010 – 2019
- 2017
[j2]Fernando de-la-Calle-Silos, Richard M. Stern
:
Synchrony-Based Feature Extraction for Robust Automatic Speech Recognition. IEEE Signal Process. Lett. 24(8): 1158-1162 (2017)- 2016
- [c5]Fernando de-la-Calle-Silos, Ascensión Gallardo-Antolín, Carmen Peláez-Moreno:
An Analysis of Deep Neural Networks in Broad Phonetic Classes for Noisy Speech Recognition. IberSPEECH 2016: 87-96 - 2015
- [j1]Fernando de-la-Calle-Silos, Francisco J. Valverde-Albacete, Ascensión Gallardo-Antolín, Carmen Peláez-Moreno:
Morphologically Filtered Power-Normalized Cochleograms as Robust, Biologically Inspired Features for ASR. IEEE ACM Trans. Audio Speech Lang. Process. 23(11): 2070-2080 (2015) - [c4]Fernando de-la-Calle-Silos, Francisco J. Valverde-Albacete, Ascensión Gallardo-Antolín, Carmen Peláez-Moreno:
Preliminary experiments on the robustness of biologically motivated features for DNN-based ASR. IWOBI 2015: 169-176 - 2014
- [c3]Fernando de-la-Calle-Silos, Ascensión Gallardo-Antolín, Carmen Peláez-Moreno:
Deep Maxout Networks Applied to Noise-Robust Speech Recognition. IberSPEECH 2014: 109-118 - [c2]Fernando de-la-Calle-Silos, Francisco José Valverde Albacete, Ascensión Gallardo-Antolín, Carmen Peláez-Moreno:
ASR feature extraction with morphologically-filtered power-normalized cochleograms. INTERSPEECH 2014: 2430-2434 - 2013
- [c1]Fernando de-la-Calle-Silos, Iván González-Díaz, Fernando Díaz-de-María:
Mid-level feature set for specific event and anomaly detection in crowded scenes. ICIP 2013: 4001-4005
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