Speaker Localization

Speaker localization aims to pinpoint the location of a sound source, typically a speaker, using microphone arrays. Current research heavily utilizes deep learning models, including convolutional neural networks and recurrent neural networks like LSTMs, often incorporating techniques like beamforming and time-difference-of-arrival (TDOA) estimation, sometimes enhanced by self-supervised learning methods for improved robustness in noisy or reverberant environments. This field is crucial for advancing applications such as hands-free voice control, robotics, and virtual/augmented reality, with recent work focusing on improving accuracy and efficiency, particularly in multi-speaker scenarios and using diverse microphone array configurations.