Machine Learning with Feature Extractions for Regression Estimation of Binaural Sound Source Localization
Year: 2022

Binaural sound source localization is the determination of the position of a sound source based on two data sensors, microphones, mimicking the human auditory system. Many audio processing systems in our daily work and life rely on sound source localization, such as speech enhancement/recognition and human-robot interaction. However, the accuracy of sound source localization under adverse acoustic scenarios is still hard to ensure. This thesis proposes machine learning with feature extractions t