Title :
Open-set speaker identification in broadcast news
Author :
Gao, Chao ; Saikumar, Guruprasad ; Srivastava, Amit ; Natarajan, Premkumar
Author_Institution :
Raytheon BBN Technol., Cambridge, MA, USA
Abstract :
In this paper, we examine the problem of text-independent open-set speaker identification (OS-SI) in broadcast news. Particularly, the impact of the population of registered speakers to OS-SI performance is investigated, which is the central issue for designing practical OS-SI system. We amend the maximum mutual information (MMI)-based discriminative training scheme to facilitate its incorporation in OS-SI systems. We also improve the implementation to allow the application of MMI based approach with 2048-component Gaussian mixture models. All systems are evaluated using NIST RT-03, RT-04 and FBIS corpora, with a maximum of 82 registered speakers. Our study shows that notable performance improvement can be obtained with MMI-based discriminative training, which reduces the equal error rate (EER) by 15.9% relatively, in comparison to the GMM-MAP scheme.
Keywords :
Gaussian processes; speaker recognition; 2048-component Gaussian mixture models; EER; GMM-MAP scheme; MMI-based discriminative training; OS-SI system; broadcast news; equal error rate; open-set speaker identification; Adaptation models; Computational modeling; Monitoring; Speaker recognition; System performance; Training; Training data;
Conference_Titel :
Acoustics, Speech and Signal Processing (ICASSP), 2011 IEEE International Conference on
Conference_Location :
Prague
Print_ISBN :
978-1-4577-0538-0
Electronic_ISBN :
1520-6149
DOI :
10.1109/ICASSP.2011.5947549
