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Gerkmann, T. and Hendriks, R.C. (2011) Noise power estimation based on the probability of speech presence. IEEE Workshop on Applications of Signal Processing to Audio and Acoustics, New Paltz, 16-19 October 2011, 145-148.

has been cited by the following article:

• TITLE: Acoustic measures of the cry characteristics of healthy newborns and newborns with pathologies

  AUTHORS: Yasmina Kheddache, Chakib Tadj

  KEYWORDS: Newborn Cry; Dysphonic Cry; Noise Estimation

  JOURNAL NAME: Journal of Biomedical Science and Engineering, Vol.6 No.8, August 7, 2013

  ABSTRACT: Several hypotheses have been formulated as a result of observing spectrograms of the audio signals of the newborn infant cry in numerous studies. Our study is based on a few of these hypotheses. The purpose of this article is to differentiate pathological crying from healthy crying through acoustic cry analysis based on neurophysiological parameters of newborns. The automatic estimation of the characteristics of relevant cry signals, such as phonation, hyperphonation, and dysphonation, expressed as percentages, as well as unvoiced sound and mode change percentages, have enabled us to distinguish among the pathologies selected for this study. The results obtained have helped us to make quantitative associations between cry characteristics and pathological conditions affecting newborns.