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ORCIDSantiago Andres Moreno-Acevedo
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2020 – today
- 2026
[j1]Ander González-Docasal
, Juan Camilo Vásquez-Correa, Haritz Arzelus, Aitor Álvarez, Santiago Andres Moreno-Acevedo:
Do modern speech LLMs and re-scoring techniques improve bilingual ASR performance for Basque and Spanish in domain-specific contexts? Comput. Speech Lang. 99: 101905 (2026)- 2025
- [c7]Aitor Álvarez, Arantza del Pozo, Montse Cuadros, Thierry Etchegoyhen, Juan Camilo Vásquez-Correa, Ander González-Docasal, Santiago Andres Moreno-Acevedo, Harritxu Gete, Victor Ruiz, Aingeru Bellido, Alexander Platas, Maia Agirre, Ariane Méndez, Javier Mikel Olaso, Antonio Aparicio, Asier López, M. Inés Torres, Begoña Arrate, Joxean Zapirain, Oscar Montserrat, José María Echevarría, José Ignacio Hormaetxe, Pedro Fortea, Sofia Olaso, Jon Nuñez:
ADAPT-IA: Towards an Adaptive AI in Language Technologies applied to RIS3 Industrial sectors. SEPLN-PD 2025: 65-73 - 2024
- [c6]Juan Camilo Vásquez-Correa, Santiago Andres Moreno-Acevedo, Ander González-Docasal, Aritz Lasarguren, Jone López, Egoitz Rodriguez-Olea, Aitor Álvarez:
Real-Time Speech-Driven Avatar Animation by Predicting Facial landmarks and Deformation Blendshapes. ICNLSP 2024: 109-118 - [c5]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 - 2023
- [c4]Cristian D. Ríos-Urrego, Daniel Escobar-Grisales, Santiago Andres Moreno-Acevedo, Paula Andrea Pérez-Toro, Elmar Nöth, Juan Rafael Orozco-Arroyave:
Automatic Pronunciation Assessment of Non-native English Based on Phonological Analysis. TSD 2023: 339-348 - [c3]Santiago Andres Moreno-Acevedo, Cristian D. Ríos-Urrego, Juan Camilo Vásquez-Correa, Jan Rusz, Elmar Nöth, Juan Rafael Orozco-Arroyave:
Language Generalization Using Active Learning in the Context of Parkinson's Disease Classification. TSD 2023: 349-359 - 2022
- [c2]Cristian David Ríos-Urrego, Santiago Andres Moreno-Acevedo, Elmar Nöth, Juan Rafael Orozco-Arroyave:
End-to-End Parkinson's Disease Detection Using a Deep Convolutional Recurrent Network. TSD 2022: 326-338 - [c1]Santiago Andres Moreno-Acevedo, Daniel Escobar-Grisales, Juan Camilo Vásquez-Correa, Juan Rafael Orozco-Arroyave:
Comparison of Named Entity Recognition Methods on Real-World and Highly Imbalanced Business Document Datasets. WEA 2022: 41-53
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