Extraction of speaker-specific excitation information from linear prediction residual of speech

  title={Extraction of speaker-specific excitation information from linear prediction residual of speech},
  author={S. R. Mahadeva Prasanna and Cheedella S. Gupta and Bayya Yegnanarayana},
  journal={Speech Communication},
In this paper, through different experimental studies we demonstrate that the excitation component of speech can be exploited for speaker recognition studies. Linear prediction (LP) residual is used as a representation of excitation information in speech. The speaker-specific information in the excitation of voiced speech is captured using the AutoAssociative Neural Network (AANN) models. The decrease in the error during training and recognizing correct speakers during testing demonstrates that… CONTINUE READING
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