Fuzzy Clustered Speaker Identification

Provided by: International Association of Scientific Innovation and Research (IASIR)
Topic: Enterprise Software
Format: PDF
Speaker identification is a biometric system. In speaker identification the task is to determine the unknown speaker identity by selecting one from the whole population. The key idea is that to use a fuzzy clustering to partition the original large population into subgroups. Clustering is done based on some features of the speeches. For a speaker under test, first conduct the fuzzy clustering based classification. Then apply MFCC+ neural network identification approach to the selected leaf node to determine the speaker identity.

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