Improvement of learning-based methods for localization of multiple sound sources
Year: 2021

Sound source localization is an important topic in human-machine interacting, teleconferencing, security systems, as well as autonomous driving and robotics. While current state-of-the-art sound source localization methods allow localization of a single or a small number of sound sources in moderately reverberant environments, it is known that their performance deteriorates when the reverberation time is increased. Moreover, the localization of multiple sound sources is an even more difficult ta