CASA-Based Robust Speaker Identification

Xiaojia Zhao, Yang Shao, DeLiang Wang
2012 IEEE Transactions on Audio, Speech, and Language Processing  
As a primary topic in speaker recognition, speaker identification (SID) aims to identify the underlying speaker(s) given a speech utterance. SID systems perform well under matched training and test conditions. In real-world environments, mismatch caused by background noise, room reverberation or competing voice significantly degrades the performance of such systems. Achieving robustness to the SID systems becomes an important research problem. Existing approaches address this problem from
more » ... ent perspectives such as proposing robust speaker features, introducing noise to clean speaker models, and using speech enhancement methods to restore clean speech characteristics. Inspired by auditory perception, computational auditory scene analysis (CASA) typically Hu offered me enormous help in my first few years.
doi:10.1109/tasl.2012.2186803 fatcat:5wqehvp5u5hgrm4dr3utrjvs3u