A real-time text-independent speaker identification system

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

• Type: Conference
• Year: 2003
• Where: ICIAP
• Authors: Luigi P. Cordella, Pasquale Foggia, Carlo Sansone, Mario Vento
• Keywords: Automatic Video Segmentation, ICIAP 2003, Image Processing, Real-time Speaker Identification, Time Interval