Speaker change detection and tracking in real-time news broadcasting analysis
Proceedings of the tenth ACM international conference on Multimedia
On-line Stochastic Matching compensation for non-stationary noise
Computer Speech and Language
Unsupervised speaker segmentation with residual phase and MFCC features
Expert Systems with Applications: An International Journal
Fusion of Acoustic and Prosodic Features for Speaker Clustering
TSD '09 Proceedings of the 12th International Conference on Text, Speech and Dialogue
A speaker based unsupervised speech segmentation algorithm used in conversational speech
KSEM'07 Proceedings of the 2nd international conference on Knowledge science, engineering and management
IEEE Transactions on Audio, Speech, and Language Processing
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A speaker tracking system (STS) is built by using successively a speaker change detector and a speaker verification system. The aim of the STS is to find in a conversation between several persons (some of them having already enrolled and other being totally unknown) target speakers chosen in a set of enrolled users. In a first step, speech is segmented into homogeneous segments containing only one speaker, without any use of a priori knowledge about speakers. Then, the resulting segments are checked to belong to one of the target speakers. The system has been used in a NIST evaluation test with satisfactory results.