Corpus ID: 212485331

Application of MFCC in Text Independent Speaker Recognition

@inproceedings{Gupta2016ApplicationOM,
  title={Application of MFCC in Text Independent Speaker Recognition},
  author={Shipra Gupta},
  year={2016}
}
Recently speech processing is one of the important application area of digital signal processing. There are several parts of speech processing as speech recognition, speaker recognition, speech synthesis, speech coding etc. The objective of the presented work is to extract, characterize and recognize the speaker identity. Feature extraction is the key process for speaker recognition. In this work, the Mel Frequency Cepstrum Coefficient (MFCC) feature has been utilized for designing a speaker… Expand
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