Real-time speaker identification system
ACS'07 Proceedings of the 7th Conference on 7th WSEAS International Conference on Applied Computer Science - Volume 7
A multi-stage approach for anchor shot detection
SSPR'06/SPR'06 Proceedings of the 2006 joint IAPR international conference on Structural, Syntactic, and Statistical Pattern Recognition
Combining audio-based and video-based shot classification systems for news videos segmentation
MCS'05 Proceedings of the 6th international conference on Multiple Classifier Systems
Unsupervised news video segmentation by combined audio-video analysis
MRCS'06 Proceedings of the 2006 international conference on Multimedia Content Representation, Classification and Security
Text-independent speaker identification system based on the histogram of DCT-cepstrum coefficients
International Journal of Knowledge-based and Intelligent Engineering Systems
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The paper presents a real-time speaker identification system based on the analysis of the audio track of a video stream. The system has been employed in the context of automatic video segmentation. It uses features evaluated in both domains of time and frequency. Their combined use significantly improved the performance of the system.Experiments have been carried on a database extracted from over one hour of television news, including 10 speakers. The obtained results confirm the effectiveness of the approach, showing an error rate less then 1% when the time interval used for identifying a speaker is about 1.5 seconds.