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ORCIDRoberto Andrés Vasco Carofilis
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2020 – today
- 2025
[j5]Andrés Carofilis
, Laura Fernández-Robles, Enrique Alegre, Eduardo Fidalgo:
Improving audio embeddings with squeeze-and-excitation: Introducing SaEENet. Knowl. Based Syst. 324: 113875 (2025)- [j4]Roberto Andrés Carofilis Vasco:
Deep learning applied to speech processing: Development of novel models and techniques. Proces. del Leng. Natural 74: 395-398 (2025) - [c7]Pradeep Rangappa, Juan Zuluaga-Gomez, Srikanth R. Madikeri, Andrés Carofilis, Jeena Prakash, Sergio Burdisso, Shashi Kumar, Esaú Villatoro-Tello, Iuliia Nigmatulina, Petr Motlícek, Karthik Pandia, Aravind Ganapathiraju:
Speech Data Selection for Efficient ASR Fine-Tuning using Domain Classifier and Pseudo-Label Filtering. ICASSP 2025: 1-5 - [c6]Andrés Carofilis, Pradeep Rangappa, Srikanth Madikeri, Shashi Kumar, Sergio Burdisso, Jeena Prakash, Esaú Villatoro-Tello, Petr Motlícek, Bidisha Sharma, Kadri Hacioglu, Shankar Venkatesan, Saurabh Vyas, Andreas Stolcke:
Better Semi-supervised Learning for Multi-domain ASR Through Incremental Retraining and Data Filtering. INTERSPEECH 2025 - [c5]Pradeep Rangappa, Andrés Carofilis, Jeena Prakash, Shashi Kumar, Sergio Burdisso, Srikanth R. Madikeri, Esaú Villatoro-Tello, Bidisha Sharma, Petr Motlícek, Kadri Hacioglu, Shankar Venkatesan, Saurabh Vyas, Andreas Stolcke:
Efficient Data Selection for Domain Adaptation of ASR Using Pseudo-Labels and Multi-Stage Filtering. INTERSPEECH 2025 - [c4]Iuliia Thorbecke, Esaú Villatoro-Tello, Juan Pablo Zuluaga-Gomez, Shashi Kumar, Sergio Burdisso, Pradeep Rangappa, Andrés Carofilis, Srikanth R. Madikeri, Petr Motlícek, Karthik Pandia, Kadri Hacioglu, Andreas Stolcke:
Unifying Global and Near-Context Biasing in a Single Trie Pass. TSD (1) 2025: 170-181 - [i10]Pradeep Rangappa, Roberto Andrés Vasco Carofilis, Jeena Prakash, Shashi Kumar, Sergio Burdisso, Srikanth R. Madikeri, Esaú Villatoro-Tello, Bidisha Sharma, Petr Motlícek, Kadri Hacioglu, Shankar Venkatesan, Saurabh Vyas, Andreas Stolcke:
Efficient Data Selection for Domain Adaptation of ASR Using Pseudo-Labels and Multi-Stage Filtering. CoRR abs/2506.03681 (2025) - [i9]Roberto Andrés Vasco Carofilis, Pradeep Rangappa, Srikanth R. Madikeri, Shashi Kumar, Sergio Burdisso, Jeena Prakash, Esaú Villatoro-Tello, Petr Motlícek, Bidisha Sharma, Kadri Hacioglu, Shankar Venkatesan, Saurabh Vyas, Andreas Stolcke:
Better Semi-supervised Learning for Multi-domain ASR Through Incremental Retraining and Data Filtering. CoRR abs/2506.04981 (2025) - [i8]Shashi Kumar, Srikanth R. Madikeri, Esaú Villatoro-Tello, Sergio Burdisso, Pradeep Rangappa, Roberto Andrés Vasco Carofilis, Petr Motlícek, Karthik Pandia, Shankar Venkatesan, Kadri Hacioglu, Andreas Stolcke:
TokenVerse++: Towards Flexible Multitask Learning with Dynamic Task Activation. CoRR abs/2508.19856 (2025) - 2024
- [c3]Amrutha Prasad, Andrés Carofilis, Geoffroy Vanderreydt, Driss Khalil, Srikanth R. Madikeri, Petr Motlícek, Christof Schüpbach:
Fine-Tuning Self-Supervised Models for Language Identification Using Orthonormal Constraint. ICASSP 2024: 11921-11925 - [c2]Alicia Martínez-Mendoza, Francisco Jáñez-Martino, Andrés Carofilis, Laura Fernández-Robles, Enrique Alegre, Eduardo Fidalgo:
Towards Multi-Class Smishing Detection: A Novel Feature Vector Approach and the Smishing-4C Dataset. SEPLN Posters 2024: 58-68 - [i7]Iuliia Thorbecke, Juan Zuluaga-Gomez, Esaú Villatoro-Tello, Andrés Carofilis, Shashi Kumar, Petr Motlícek, Karthik Pandia, Aravind Ganapathiraju:
LM-assisted keyword biasing with Aho-Corasick algorithm for Transducer-based ASR. CoRR abs/2409.13514 (2024) - 2023
- [j3]Roberto Andrés Vasco Carofilis, Laura Fernández-Robles, Enrique Alegre, Eduardo Fidalgo:
MeWEHV: Mel and Wave Embeddings for Human Voice Tasks. IEEE Access 11: 80089-80104 (2023) - [j2]Pedro García-Victoria, Miguel Angel Gutiérrez-Naranjo, Miguel Cárdenas-Montes, Roberto Andrés Vasco Carofilis:
PBIL for optimizing inception module in convolutional neural networks. Log. J. IGPL 31(2): 325-337 (2023) - [j1]Roberto Andrés Vasco Carofilis, Enrique Alegre, Eduardo Fidalgo, Laura Fernández-Robles:
Improvement of Accent Classification Models Through Grad-Transfer From Spectrograms and Gradient-Weighted Class Activation Mapping. IEEE ACM Trans. Audio Speech Lang. Process. 31: 2859-2871 (2023) - 2022
- [i6]Roberto Andrés Vasco Carofilis, Laura Fernández-Robles, Enrique Alegre, Eduardo Fidalgo:
MeWEHV: Mel and Wave Embeddings for Human Voice Tasks. CoRR abs/2209.14078 (2022) - 2020
- [c1]Roberto Andrés Vasco Carofilis, Miguel Angel Gutiérrez-Naranjo, Miguel Cárdenas-Montes:
PBIL for Optimizing Hyperparameters of Convolutional Neural Networks and STL Decomposition. HAIS 2020: 147-159 - [i5]Mhd Wesam Al-Nabki, Francisco Jáñez-Martino, Roberto Andrés Vasco Carofilis, Eduardo Fidalgo, Javier Velasco-Mata:
Improving Named Entity Recognition in Tor Darknet with Local Distance Neighbor Feature. CoRR abs/2005.08746 (2020) - [i4]Mhd Wesam Al-Nabki, Eduardo Fidalgo, Roberto Andrés Vasco Carofilis, Francisco Jáñez-Martino, Javier Velasco-Mata:
Evaluating Performance of an Adult Pornography Classifier for Child Sexual Abuse Detection. CoRR abs/2005.08766 (2020) - [i3]Eduardo Fidalgo Fernandez, Roberto Andrés Vasco Carofilis, Francisco Jáñez-Martino, Pablo Blanco-Medina:
Classifying Suspicious Content in Tor Darknet. CoRR abs/2005.10086 (2020) - [i2]Rubel Biswas, Roberto Andrés Vasco Carofilis, Eduardo Fidalgo Fernandez, Francisco Jáñez-Martino, Pablo Blanco-Medina:
Perceptual Hashing applied to Tor domains recognition. CoRR abs/2005.10090 (2020) - [i1]Pablo Blanco-Medina, Eduardo Fidalgo Fernandez, Enrique Alegre, Francisco Jáñez-Martino, Roberto Andrés Vasco Carofilis, Víctor Fidalgo Villar:
Classification of Industrial Control Systems screenshots using Transfer Learning. CoRR abs/2005.10098 (2020)
Coauthor Index
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