| X-vector anonymization using autoencoders and adversarial training for preserving speech privacy JM Perero-Codosero, FM Espinoza-Cuadros, LA Hernández-Gómez Computer Speech & Language 74, 101351, 2022 | 25 | 2022 |
| Modeling obstructive sleep apnea voices using deep neural network embeddings and domain-adversarial training JM Perero-Codosero, F Espinoza-Cuadros, J Antón-Martín, ... IEEE Journal of Selected Topics in Signal Processing 14 (2), 240-250, 2019 | 21 | 2019 |
| Speaker De-identification System using Autoencoders and Adversarial Training FM Espinoza-Cuadros, JM Perero-Codosero, J Antón-Martın, ... | 20 | 2020 |
| A Comparison of Hybrid and End-to-End ASR Systems for the IberSpeech-RTVE 2020 Speech-to-Text Transcription Challenge JM Perero-Codosero, FM Espinoza-Cuadros, LA Hernández-Gómez Applied Sciences 12 (2), 903, 2022 | 10 | 2022 |
| Exploring Open-Source Deep Learning ASR for Speech-to-Text TV program transcription. JM Perero-Codosero, J Antón-Martín, DT Merino, EL Gonzalo, ... IberSPEECH, 262-266, 2018 | 8 | 2018 |
| Method and system to estimate speaker characteristics on-the-fly for unknown speaker with high accuracy and low latency JM Perero-Codosero, FM Espinoza-Cuadros US Patent 2021/0407523 A1, 2021 | 3 | 2021 |
| Sigma-UPM ASR Systems for the IberSpeech-RTVE 2020 Speech-to-Text Transcription Challenge JM Perero-Codosero, FM Espinoza-Cuadros, LA Hernández-Gómez Proceedings of the IberSPEECH, Valladolid, Spain, 24-25, 2021 | 3 | 2021 |
| Desarrollo de un sistema de reconocimiento de habla natural para transcribir contenidos de audio en internet JM Perero Codosero | 1 | 2015 |
| Adversarial Learning to Reduce Sources of Variability in Speech Applications JM Perero-Codosero ETSI de Telecomunicación, Universidad Politécnica de Madrid, 2022 | | 2022 |
| ISSUE ON AUTOMATIC ASSESSMENT OF HEALTH DISORDERS BASED ON VOICE, SPEECH, AND LANGUAGE PROCESSING JI Godino-Llorente, D O’Shaughnessy, T Lee, N Dehak, C Manfredi, ... | | 2020 |
Luis Hernandez GomezProfesor Titular, Universidad Politécnica de MadridVerified email at upm.es
