Most of current speaker recognition systems are based on features extracted from the magnitude spectrum of speech. However the excitation signal produced by the glottis is expecte...
In this paper we attempt to quantify the ability of naive listeners to perform speaker recognition in the context of the NIST evaluation task. We describe our protocol: a series o...
Wade Shen, Joseph P. Campbell, Derek Straub, Reva ...
The effect of additive noise in a speaker recognition system is well known to be a crucial problem in real life applications. In a speaker recognition system, if the test utteranc...
Speaker clustering is the task of grouping a set of speech utterances into speaker-specific classes. The basic techniques for solving this task are similar to those used for spea...
The best performing systems in the area of automatic speaker recognition have focused on using short-term, low-level acoustic information, such as sepstral features. Recently, vari...