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ORCIDDaniel Saez-Trigueros
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2020 – today
- 2024
[c5]Álvaro Martín-Cortinas, Daniel Sáez-Trigueros, Grzegorz Beringer, Iván Vallés-Pérez, Roberto Barra-Chicote, Biel Tura Vecino, Adam Gabrys, Thomas Merritt, Piotr Bilinski, Jaime Lorenzo-Trueba:
Investigating Self-Supervised Features for Expressive, Multilingual Voice Conversion. ICASSP Workshops 2024: 341-345- [i7]Álvaro Martín-Cortinas, Daniel Sáez-Trigueros, Iván Vallés-Pérez, Biel Tura Vecino, Piotr Bilinski, Mateusz Lajszczak, Grzegorz Beringer, Roberto Barra-Chicote, Jaime Lorenzo-Trueba:
Enhancing the Stability of LLM-based Speech Generation Systems through Self-Supervised Representations. CoRR abs/2402.03407 (2024) - 2023
- [j4]María Villa-Monedero, Manuel Gil-Martín
, Daniel Sáez-Trigueros, Andrzej Pomirski, Rubén San Segundo:
Sign Language Dataset for Automatic Motion Generation. J. Imaging 9(12): 262 (2023) - [j3]Manuel Gil-Martín, María Villa-Monedero, Andrzej Pomirski, Daniel Sáez-Trigueros, Rubén San Segundo:
Sign Language Motion Generation from Sign Characteristics. Sensors 23(23): 9365 (2023) - 2022
- [c4]Magdalena Proszewska, Grzegorz Beringer, Daniel Sáez-Trigueros, Thomas Merritt, Abdelhamid Ezzerg, Roberto Barra-Chicote:
GlowVC: Mel-spectrogram space disentangling model for language-independent text-free voice conversion. INTERSPEECH 2022: 2973-2977 - [i6]Magdalena Proszewska, Grzegorz Beringer, Daniel Sáez-Trigueros, Thomas Merritt, Abdelhamid Ezzerg, Roberto Barra-Chicote:
GlowVC: Mel-spectrogram space disentangling model for language-independent text-free voice conversion. CoRR abs/2207.01454 (2022) - 2021
- [j2]Daniel Saez-Trigueros, Li Meng, Margaret Hartnett:
Generating photo-realistic training data to improve face recognition accuracy. Neural Networks 134: 86-94 (2021) - [c3]Abdelhamid Ezzerg, Adam Gabrys, Bartosz Putrycz, Daniel Korzekwa, Daniel Saez-Trigueros, David McHardy, Kamil Pokora, Jakub Lachowicz, Jaime Lorenzo-Trueba, Viacheslav Klimkov:
Enhancing audio quality for expressive Neural Text-to-Speech. SSW 2021: 78-83 - [i5]Abdelhamid Ezzerg, Adam Gabrys, Bartosz Putrycz, Daniel Korzekwa, Daniel Saez-Trigueros, David McHardy, Kamil Pokora, Jakub Lachowicz, Jaime Lorenzo-Trueba, Viacheslav Klimkov:
Enhancing audio quality for expressive Neural Text-to-Speech. CoRR abs/2108.06270 (2021) - 2020
- [c2]Sri Karlapati, Alexis Moinet, Arnaud Joly, Viacheslav Klimkov, Daniel Sáez-Trigueros, Thomas Drugman:
CopyCat: Many-to-Many Fine-Grained Prosody Transfer for Neural Text-to-Speech. INTERSPEECH 2020: 4387-4391 - [i4]Sri Karlapati, Alexis Moinet, Arnaud Joly, Viacheslav Klimkov, Daniel Saez-Trigueros, Thomas Drugman:
CopyCat: Many-to-Many Fine-Grained Prosody Transfer for Neural Text-to-Speech. CoRR abs/2004.14617 (2020)
2010 – 2019
- 2019
- [b1]Daniel Sáez-Trigueros:
Design and real-world application of novel machine learning techniques for improving face recognition algorithms. University of Hertfordshire, Hatfield, UK, 2019 - 2018
- [j1]Daniel Saez-Trigueros, Li Meng, Margaret Hartnett:
Enhancing convolutional neural networks for face recognition with occlusion maps and batch triplet loss. Image Vis. Comput. 79: 99-108 (2018) - [i3]Daniel Saez-Trigueros, Li Meng, Margaret Hartnett:
Generating Photo-Realistic Training Data to Improve Face Recognition Accuracy. CoRR abs/1811.00112 (2018) - [i2]Daniel Saez-Trigueros, Li Meng, Margaret Hartnett:
Face Recognition: From Traditional to Deep Learning Methods. CoRR abs/1811.00116 (2018) - 2017
- [i1]Daniel Saez-Trigueros, Li Meng, Margaret Hartnett:
Enhancing Convolutional Neural Networks for Face Recognition with Occlusion Maps and Batch Triplet Loss. CoRR abs/1707.07923 (2017) - 2016
- [c1]Daniel Saez-Trigueros, Heinz Hertlein, Li Meng, Margaret Hartnett:
Shape and texture combined face recognition for detection of forged ID documents. MIPRO 2016: 1343-1348
Coauthor Index
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