Fuzzy Clustering For Speaker Identification MFCC + Neural Network
Angel Rose Mathew, Preethy Prince Thachil · International Journal of Advanced Research in Electrical Electronics and Instrumentation Engineering · 2014
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 it uses 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 unknown speaker.