Real-Time Speaker Identification System
نویسندگان
چکیده
Speaker identification applications are the highly commercialized during the speaker recognition and voice biometrics applications. Like other applications it has been experiencing an increasing market and investor interest [1]. However, it is still an open area for research. In this paper we considered creating a real-time speaker identification system as an optimization problem. However, many researches proceeded in this direction. Here, we took a newly proposed technique proposed by Karpov [2] to compare our technique with it. The results, when testing both systems on ELSDSR voices database, show that the newly proposed technique is better than the old proposed one in terms of timing, memory usage and accuracy. Key-Words:Speaker Identification, FFCM, Vector Quantization, Fuzzy Clustering
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تاریخ انتشار 2007