• DocumentCode
    839156
  • Title

    The effect of additive noise on speech amplitude spectra: a quantitative analysis

  • Author

    Zhu, Qifeng ; Alwan, Abeer

  • Author_Institution
    Henry Samueli Sch. of Eng. & Appl. Sci., California Univ., Los Angeles, CA, USA
  • Volume
    9
  • Issue
    9
  • fYear
    2002
  • Firstpage
    275
  • Lastpage
    277
  • Abstract
    This article analyzes the effect of additive noise on speech amplitude spectra, and introduces a method to estimate speech spectra from noisy observations. Estimated spectra are used to compute the Mel-frequency cepstral coefficients as a recognition front-end. Compared to linear spectral subtraction, this technique improves the performance of digit recognition in noise.
  • Keywords
    cepstral analysis; noise; speech processing; speech recognition; HMM-based system; Mel-frequency cepstral coefficients; additive noise; automatic speech recognition; digit recognition; linear spectral subtraction; noisy observations; speech amplitude spectra; speech recognition front-end; Acoustic noise; Additive noise; Automatic speech recognition; Cepstral analysis; Frequency; Hidden Markov models; Noise level; Random variables; Speech analysis; Speech enhancement;
  • fLanguage
    English
  • Journal_Title
    Signal Processing Letters, IEEE
  • Publisher
    ieee
  • ISSN
    1070-9908
  • Type

    jour

  • DOI
    10.1109/LSP.2002.801722
  • Filename
    1040268
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=839156