The concept of speaker recognition using i-vectors was recently introduced offering state-of-the-art performance. An i-vector is a compact representation of a speaker’s utteranc...
We describe the latest version of the SRI-ICSI meeting and lecture recognition system, as was used in the NIST RT-07 evaluations, highlighting improvements made over the last year....
Andreas Stolcke, Xavier Anguera, Kofi Boakye, &Oum...
Automatic language recognition on spontaneous speech has experienced a rapid development in the last few years. This development has been in part due to the competitive technologi...
Support vector machines (SVMs) have proven to be a powerful technique for pattern classification. SVMs map inputs into a high dimensional space and then separate classes with a hy...
William M. Campbell, Joseph P. Campbell, Douglas A...
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 ...