Examinando por Autor "Evers, Christine"
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Ítem An audio enhancement system to improve intelligibility for social-awareness in HRI(Springer, 2021-08-28) Martínez-Colón, Antonio; Viciana-Abad, Raquel; Pérez-Lorenzo, José Manuel; Evers, Christine; Naylor, Patrick A.Improving the ability to interact through voice with a robot is still a challenge especially in real environments where multiple speakers coexist. This work has evaluated a proposal based on improving the intelligibility of the voice information that feeds an existing ASR service in the network and in conditions similar to those that could occur in a care centre for the elderly. The results indicate the feasibility and improvement of a proposal based on the use of an embedded microphone array and the use of a simple beamforming and masking technique. The system has been evaluated with 12 people and results obtained for time responsiveness indicate that the system would allow natural interaction with voice. It is shown to be necessary to incorporate a system to properly employ the masking algorithm, through the intelligent and stable estimation of the interfering signals. In addition, this approach allows to fix as sources of interest other speakers not located in the vicinity of the robot.Ítem Evaluation of a Multi-speaker System for Socially Assistive HRI in Real Scenarios(Springer, 2020-11-03) Martínez-Colón, Antonio; Viciana-Abad, Raquel; Pérez-Lorenzo, José Manuel; Evers, Christine; Naylor, Patrick A.In the field of social human-robot interaction, and in particular for social assistive robotics, the capacity of recognizing the speaker’s discourse in very diverse conditions and where more than one interlocutor may be present, plays an essential role. The use of a mics. array that can be mounted in a robot supported by a voice enhancement module has been evaluated, with the goal of improving the performance of current automatic speech recognition (ASR) systems in multi-speaker conditions. An evaluation has been made of the improvement in terms of intelligibility scores that can be achieved in the operation of two off-the-shelf ASR solutions in situations that contemplate the typical scenarios where a robot with these characteristics can be found. The results have identified the conditions in which a low computational cost demand algorithm can be beneficial to improve intelligibility scores in real environments.