A practical approach to real-time application of speaker recognition using wavelets and linear algebra

@inproceedings{Pham2001APA,
  title={A practical approach to real-time application of speaker recognition using wavelets and linear algebra},
  author={Duc Son Pham and Michael C. Orr and Brian Lithgow and Robert Mahony},
  year={2001}
}
A continuous wavelet transform, with Morlet wavelets as the basis functions, is used to map speech into the time-frequency domain. Forward and inverse FFT routines are used to implement the wavelet transforms. A coefficient covariance matrix is defined and an Eigenvalue decomposition is used to optimally determine significant wavelet based filters that accurately represent speech and potentially identify different speakers. 
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