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Juan M. Perero-Codosero
Juan M. Perero-Codosero
Head Speech Technologies at Sigma AI - Researcher at ETSIT, Universidad Politécnica de Madrid
Verified email at alumnos.upm.es
Title
Cited by
Cited by
Year
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
232022
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
212019
Speaker De-identification System using Autoencoders and Adversarial Training
FM Espinoza-Cuadros, JM Perero-Codosero, J Antón-Martın, ...
202020
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
92022
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
82018
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
32021
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
32021
Desarrollo de un sistema de reconocimiento de habla natural para transcribir contenidos de audio en internet
JM Perero Codosero
12015
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
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