This work investigates the use of missing data techniques for noise robust speaker identification. Most previous work in this field relies on the diagonal covariance assumption ...
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...
Recent years have seen increased interest within the speaker recognition community in high-level features including, for example, lexical choice, idiomatic expressions or syntacti...
Christopher Cieri, Stephanie Strassel, Meghan Lamm...
In recent years, the proliferation of VOIP data has created a number of applications in which it is desirable to perform quick online classification and recognition of massive voi...
We study the phonetic information in the signal from an ultrasonic “microphone”, a device that emits an ultrasonic wave toward a speaker and receives the reflected, Doppler-s...