• DocumentCode
    1697344
  • Title

    SNR is not enough: Noise modulation and speech quality

  • Author

    Kates, James M. ; Arehart, Kathryn H.

  • Author_Institution
    Dept. of Speech, Language, & Hearing Sci., Univ. of Colorado, Boulder, CO, USA
  • fYear
    2013
  • Firstpage
    8639
  • Lastpage
    8642
  • Abstract
    Speech quality metrics are used to predict quality under a variety of noise and distortion conditions. A simple metric for noisy speech is the signal-to-noise ratio (SNR), which gives the ratio of the long-term average speech power to the long-term average noise power. However, the average noise level fails to include the impact of the noise amplitude modulation on speech quality judgments. This paper reviews how the noise characteristics affect quality ratings even when the SNR is held constant. In one study, ratings for speech combined with stationary Gaussian noise are compared to ratings for noise having the same envelope modulation as the speech. In a second study, ratings for speech combined with continuous noise or multi-talker babble are compared to speech where the interference is gated off during the silent intervals in the stimulus. An accurate quality metric must take into account the modulation as well as the intensity of the noise, and the implications for speech quality metrics are discussed.
  • Keywords
    Gaussian noise; amplitude modulation; speech processing; SNR; distortion condition; envelope modulation; long-term average noise power; long-term average speech power; multitalker babble; noise amplitude modulation; noise intensity; noise level; noisy speech; quality prediction; quality ratings; signal-to-noise ratio; silent intervals; speech quality metric; stationary Gaussian noise; Auditory system; Modulation; Noise measurement; Signal to noise ratio; Speech; Auditory Modeling and Hearing Aids (1.6); Distortion Measures (13.3.2); Hearing and Psychoacoustics (13.2.2);
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Acoustics, Speech and Signal Processing (ICASSP), 2013 IEEE International Conference on
  • Conference_Location
    Vancouver, BC
  • ISSN
    1520-6149
  • Type

    conf

  • DOI
    10.1109/ICASSP.2013.6639352
  • Filename
    6639352