no code implementations • 5 Feb 2024 • Ascensión Gallardo-Antolín, Juan M. Montero
Speech intelligibility can be affected by multiple factors, such as noisy environments, channel distortions or physiological issues.
1 code implementation • Applied Sciences Journal 2021 • Cristina Luna-Jiménez, Ricardo Kleinlein, David Griol, Zoraida Callejas, Juan M. Montero, Fernando Fernández-Martínez
Regarding the facial emotion recognizer, we extracted the Action Units of the videos and compared the performance between employing static models against sequential models.
Ranked #1 on Emotion Recognition on RAVDESS (using extra training data)
no code implementations • Sensors 2021 • Cristina Luna-Jiménez, David Griol, Zoraida Callejas, Ricardo Kleinlein, Juan M. Montero, Fernando Fernández-Martínez
In this paper, we propose a multimodal emotion recognition system that relies on speech and facial information.
Ranked #3 on Emotion Recognition on RAVDESS (using extra training data)
no code implementations • COLING 2016 • Jaime Lorenzo-Trueba, Roberto Barra-Chicote, Ascension Gallardo-Antolin, Junichi Yamagishi, Juan M. Montero
This paper introduces a continuous system capable of automatically producing the most adequate speaking style to synthesize a desired target text.