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Research Area/s:

CARACTERIZACIÓN DE ENTORNOS ACÚSTICOS DINÁMICOS MEDIANTE MACHINE LEARNING PARA REPRODUCCIÓN DE SONIDO: EXPLORACIÓN METODOLÓGICA (DYNAMIC) FUNDING ORGANIZATION: AGENCIA ESTATAL DE INVESTIGACION. PID2021-124280. VIGENCY YEARS: 2022-2025 PRINCIPAL RESEARCHER: Gema Piñero Sipán NUMBER OF PARTICIPANTS: 6 LINK:

Overview

The overall user experience of media and entertainment is expanding in terms of the types of services, the environment where it is consumed, and the devices used to access them. However, the COVID-19 pandemic has abruptly changed our habits and most of the audiovisual content is consumed at homes instead of at theaters. Moreover, innovative entertainment experiences such as streaming music concerts have joined the traditional video (films and user-generated content) streaming and gaming services. At this point, it is necessary to develop intelligent sound reproduction systems that can provide in a natural way (without headphones) good-quality sound for a full immersive experience. The primary goal of the DYNAMIC project is to investigate on sound space control applications for real and dynamic environments using novel machine and deep learning techniques, aiming at maximum performance and feasibility.

For more info, see the project link.