This article is a survey of deep learning methods for single and multiple sound source
localization, with a focus on sound source localization in indoor environments, where …

Sound recognition is an important and popular function of smart devices. The location of
sound is basic information associated with the acoustic source. Apart from sound …

Abstract We introduce Resilient Multiple Choice Learning (rMCL), an extension of the MCL
approach for conditional distribution estimation in regression settings where multiple targets …

Polyphonic sound event localization and detection is not only detecting what sound events
are happening but localizing corresponding sound sources. This series of tasks was first …

Direction-of-arrival (DOA) estimation for multiple simultaneous speakers in reverberant
environments is still one of the challenging tasks in the audio signal processing field. A …

Differential microphone arrays (DMAs) have demonstrated a great potential for solving the
high-fidelity sound acquisition problem in a wide range of applications as they possess …

BeamLearning: An end-to-end deep learning approach for the angular localization of sound
sources using raw multichannel acoustic pressure dataa) | The Journal of the Acoustical …

We propose synperiodic filter banks, a novel multi-scale learnable filter bank construction
strategy that all filters are synchronized by their rotating periodicity. By synchronizing in a …

The binaural microphone, which refers to a pair of microphones with artificial human-shaped
ears, is widely used in hearing aids and spatial audio recording to improve sound quality. It …

Deep learning is widely used for target detection and direction-of-arrival (DOA) estimation
due to its powerful data fitting capability. However, limited by different environments and …