Perceptual Significance of Cepstral Distortion Measures in Digital Speech Processing

@inproceedings{Petrinovic2011PerceptualSO,
  title={Perceptual Significance of Cepstral Distortion Measures in Digital Speech Processing},
  author={Davor Petrinovic},
  year={2011}
}
Currently, one of the most widely used distance measures in speech and speaker recognition is the Euclidean distance between mel frequency cepstral coefficients (MFCC). MFCCs are based on filter bank algorithm whose filters are equally spaced on a perceptually motivated mel frequency scale. The value of mel cepstral vector, as well as the properties of the… CONTINUE READING