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ORCIDJuan M. Martín-Doñas
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2020 – today
- 2024
[c18]Santiago Andres Moreno-Acevedo
, Juan Camilo Vásquez-Correa, Juan M. Martín-Doñas, Aitor Álvarez:
Stream-based Active Learning for Speech Emotion Recognition via Hybrid Data Selection and Continuous Learning. TSD (2) 2024: 105-117- [i4]Juan M. Martín-Doñas, Eros Roselló, Angel M. Gomez, Aitor Álvarez, Iván López-Espejo, Antonio M. Peinado:
ASASVIcomtech: The Vicomtech-UGR Speech Deepfake Detection and SASV Systems for the ASVspoof5 Challenge. CoRR abs/2408.10361 (2024) - 2023
- [c17]Juan Manuel Martín-Doñas, Aitor Álvarez:
The Vicomtech Partial Deepfake Detection and Location System for the 2023 ADD Challenge. DADA@IJCAI 2023: 37-42 - [c16]Juan Camilo Vásquez-Correa, Haritz Arzelus, Juan M. Martín-Doñas, Joaquín Arellano, Ander González-Docasal, Aitor Álvarez:
When Whisper Meets TTS: Domain Adaptation Using only Synthetic Speech Data. TSD 2023: 226-238 - [c15]Juan M. Martín-Doñas, Haritz Arzelus, Aitor Álvarez, Joaquín Arellano:
An Online Diarization Approach for Streaming Applications Based on Tree-Clustering and Bayesian Resegmentation. TSD 2023: 258-269 - 2022
- [c14]Juan Manuel Martín-Doñas, Iván González Torre, Aitor Álvarez, Joaquín Arellano:
The Vicomtech Spoofing-Aware Biometric System for the SASV Challenge. IberSPEECH 2022: 66-70 - [c13]Celia García-Ruiz, Angel M. Gomez, Juan M. Martín-Doñas:
The role of window length and shift in complex-domain DNN-based speech enhancement. IberSPEECH 2022: 146-150 - [c12]Juan Manuel Martín-Doñas, Antonio M. Peinado, Angel M. Gomez:
Online Multichannel Speech Enhancement combining Statistical Signal Processing and Deep Neural Networks: A Ph.D. Thesis Overview. IberSPEECH 2022: 221-225 - [c11]Ángel M. Gómez, Victoria E. Sánchez, Antonio M. Peinado, Juan M. Martín-Doñas, Alejandro Gómez Alanís, Amelia Villegas-Morcillo, Eros Rosello, Manuel Chica, Celia García, Iván López-Espejo:
Fusion of Classical Digital Signal Processing and Deep Learning methods (FTCAPPS). IberSPEECH 2022: 237-240 - [c10]Haritz Arzelus, Iván G. Torres, Juan Manuel Martín-Doñas, Ander González-Docasal, Aitor Álvarez:
The Vicomtech-UPM Speech Transcription Systems for the Albayzín-RTVE 2022 Speech to Text Transcription Challenge. IberSPEECH 2022: 266-270 - [c9]Juan M. Martín-Doñas, Aitor Álvarez:
The Vicomtech Audio Deepfake Detection System Based on Wav2vec2 for the 2022 ADD Challenge. ICASSP 2022: 9241-9245 - [i3]Juan M. Martín-Doñas, Aitor Álvarez:
The Vicomtech Audio Deepfake Detection System based on Wav2Vec2 for the 2022 ADD Challenge. CoRR abs/2203.01573 (2022) - 2021
- [c8]Juan Manuel Martín-Doñas, Antonio M. Peinado, Iván López-Espejo, Ángel M. Gómez:
Dual-channel eKF-RTF framework for speech enhancement with DNN-based speech presence estimation. IberSPEECH 2021 - 2020
- [j3]José Andrés González López, Alejandro Gómez Alanís, Juan M. Martín-Doñas, José L. Pérez-Córdoba, Angel M. Gomez:
Silent Speech Interfaces for Speech Restoration: A Review. IEEE Access 8: 177995-178021 (2020) - [j2]Juan M. Martín-Doñas, Jesper Jensen, Zheng-Hua Tan, Angel M. Gomez, Antonio M. Peinado:
Online Multichannel Speech Enhancement Based on Recursive EM and DNN-Based Speech Presence Estimation. IEEE ACM Trans. Audio Speech Lang. Process. 28: 3080-3094 (2020) - [c7]Manuel Pariente, Samuele Cornell, Joris Cosentino, Sunit Sivasankaran, Efthymios Tzinis, Jens Heitkaemper, Michel Olvera, Fabian-Robert Stöter, Mathieu Hu, Juan M. Martín-Doñas, David Ditter, Ariel Frank, Antoine Deleforge, Emmanuel Vincent:
Asteroid: The PyTorch-Based Audio Source Separation Toolkit for Researchers. INTERSPEECH 2020: 2637-2641 - [i2]Manuel Pariente, Samuele Cornell, Joris Cosentino, Sunit Sivasankaran, Efthymios Tzinis, Jens Heitkaemper, Michel Olvera, Fabian-Robert Stöter, Mathieu Hu, Juan M. Martín-Doñas, David Ditter, Ariel Frank, Antoine Deleforge, Emmanuel Vincent:
Asteroid: the PyTorch-based audio source separation toolkit for researchers. CoRR abs/2005.04132 (2020) - [i1]José Andrés González López, Alejandro Gómez Alanís, Juan M. Martín-Doñas, José L. Pérez-Córdoba, Angel M. Gomez:
Silent Speech Interfaces for Speech Restoration: A Review. CoRR abs/2009.02110 (2020)
2010 – 2019
- 2019
- [c6]Juan M. Martín-Doñas, Jens Heitkaemper, Reinhold Haeb-Umbach, Angel M. Gomez, Antonio M. Peinado:
Multi-Channel Block-Online Source Extraction Based on Utterance Adaptation. INTERSPEECH 2019: 96-100 - 2018
- [j1]Juan M. Martín-Doñas, Angel Manuel Gomez Garcia, José A. González, Antonio M. Peinado:
A Deep Learning Loss Function Based on the Perceptual Evaluation of the Speech Quality. IEEE Signal Process. Lett. 25(11): 1680-1684 (2018) - [c5]Juan M. Martín-Doñas, Iván López-Espejo, Angel M. Gomez, Antonio M. Peinado:
An Extended Kalman Filter for RTF Estimation in Dual-Microphone Smartphones. EUSIPCO 2018: 2474-2478 - [c4]Juan M. Martín-Doñas, Iván López-Espejo, Angel M. Gomez, Antonio M. Peinado:
A postfiltering approach for dual-microphone smartphones. IberSPEECH 2018: 142-146 - [c3]Iván López-Espejo, Juan M. Martín-Doñas, Angel M. Gomez, Antonio M. Peinado:
Unscented Transform-Based Dual-Channel Noise Estimation: Application to Speech Enhancement on Smartphones. TSP 2018: 1-5 - 2017
- [c2]Juan M. Martín-Doñas, Angel M. Gomez, Iván López-Espejo, Antonio M. Peinado:
Dual-channel DNN-based speech enhancement for smartphones. MMSP 2017: 1-6 - 2016
- [c1]Iván López-Espejo, Antonio M. Peinado, Ángel M. Gómez, Juan M. Martín-Doñas:
Deep Neural Network-Based Noise Estimation for Robust ASR in Dual-Microphone Smartphones. IberSPEECH 2016: 117-127
Coauthor Index
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