Fernando de-la-Calle-Silos

According to our database, Fernando de-la-Calle-Silos authored at least 7 papers between 2013 and 2017.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2017

Synchrony-Based Feature Extraction for Robust Automatic Speech Recognition.

Fernando de-la-Calle-Silos, Richard M. Stern

IEEE Signal Process. Lett., 2017

2016

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

Proceedings of the Advances in Speech and Language Technologies for Iberian Languages, 2016

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

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

Proceedings of the 4th International Work Conference on Bioinspired Intelligence, 2015

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

Proceedings of the 15th Annual Conference of the International Speech Communication Association, 2014

Deep Maxout Networks Applied to Noise-Robust Speech Recognition.

Fernando de-la-Calle-Silos, Ascensión Gallardo-Antolín, Carmen Peláez-Moreno

Proceedings of the Advances in Speech and Language Technologies for Iberian Languages, 2014

2013

Mid-level feature set for specific event and anomaly detection in crowded scenes.

Fernando de-la-Calle-Silos, Iván González-Díaz, Fernando Díaz-de-María

Proceedings of the IEEE International Conference on Image Processing, 2013