NDLI: A method for turbulent noise estimation in voiced signals

Content Provider	Springer Nature Link
Author	Mitev, P. Hadjitodorov, S.
Copyright Year	2000
Abstract	In this article a new acoustic parameter is introduced and it is shown that it may serve as an indicator of laryngeal function. It is termed the turbulent noise index (TNI) and is defined as 100(1− $$\bar R_{max} $$ ), where $$\bar R_{max} $$ is the mean value of the maximum correlation coefficient between each pair of consecutive glottal cycles in the voiced signal. A method for its calculation is described. Experiments with synthetic and natural voice signals show that TNI is almost independent of frequency modulation noise and amplitude modulation noise. TNI is compared with HNR (harmonic-to-noise ratio) and NNE (normalised noise energy) which require high stationarity of the voice signal and are substantially affected by slow changes of frequency and amplitude. When the parameters HNR and NNE are used to discriminate between normal and pathological voices, the overlap area contains 21.5% and 23.5% of the total number of pathological voices, respectively. Using TNI, the voices, i.e. compared to the other noise parameters TNI has a significant advantage as a diagnostic parameter.
Starting Page	625
Ending Page	631
Page Count	7
File Format	PDF
ISSN	01400118
Journal	Medical and Biological Engineering and Computing
Volume Number	38
Issue Number	6
e-ISSN	17410444
Language	English
Publisher	Springer-Verlag
Publisher Date	2000-01-01
Publisher Place	Berlin, Heidelberg
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Voiced signal Turbulence noise Shimmer Jitter Autocorrelation Pathological voice Human Physiology Computer Applications Neurosciences Imaging Radiology Biomedical Engineering
Content Type	Text
Resource Type	Article
Subject	Biomedical Engineering Computer Science Applications

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