Ultra-wideband (UWB) technique has become one of the most fascinating technologies with various antennas. It has the merits of high speed transmission rate, low power consumption and simple hardware configuration over conventional wireless communication systems. The research and development of the UWB systems including antennas have been widely performed [1-5]. Recently, UWB systems have focuse...

This paper studies the e ects of handset distortion on telephone-based speaker recognition performance, resulting in the following observations: (1) the major factor in speaker recognition errors is whether the handset type (e.g., electret, carbon) is di erent across training and testing, not whether the telephone lines are mismatched, (2) the distribution of speaker recognition scores for true...

The performance of telephone-based speaker verification systems can be severely degraded by linear and non-linear acoustic distortion caused by telephone handsets. This paper proposes to combine a handset selector with stochastic feature transformation to reduce the distortion. Specifically, a GMMbased handset selector is trained to identify the most likely handset used by the claimants, and th...

Research has shown that handset selectors can be used to assist telephone-based speech/speaker recognition. Most handset selectors, however, simply select the most likely handset from a set of known handsets even for speech coming from an ‘unseen’ handset. This paper proposes a divergence-based handset selector with out-of-handset (OOH) rejection capability to identify the ‘unseen’ handsets. Th...

In speaker verification over public telephone networks, utterances can be obtained from different types of handsets. Different handsets may introduce different degrees of distortion to the speech signals. This paper attempts to combine a handset selector with (1) handset-specific transformations, (2) reinforced learning, and (3) stochastic feature transformation to reduce the effect caused by t...