Literature DB >> 11217879

A method for turbulent noise estimation in voiced signals.

P Mitev1, S Hadjitodorov.   

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 - Rmax), where Rmax 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 normal and pathological voices overlap is 14.8% of the total number of pathological voices, i.e. compared to the other noise parameters TNI has a significant advantage as a diagnostic parameter.

Mesh:

Year:  2000        PMID: 11217879     DOI: 10.1007/bf02344867

Source DB:  PubMed          Journal:  Med Biol Eng Comput        ISSN: 0140-0118            Impact factor:   2.602


  13 in total

1.  Vocal quality factors: analysis, synthesis, and perception.

Authors:  D G Childers; C K Lee
Journal:  J Acoust Soc Am       Date:  1991-11       Impact factor: 1.840

2.  Comparison of voice analysis systems for perturbation measurement.

Authors:  S Bielamowicz; J Kreiman; B R Gerratt; M S Dauer; G S Berke
Journal:  J Speech Hear Res       Date:  1996-02

3.  Acoustic correlates of vocal quality.

Authors:  L Eskenazi; D G Childers; D M Hicks
Journal:  J Speech Hear Res       Date:  1990-06

4.  Normalized noise energy as an acoustic measure to evaluate pathologic voice.

Authors:  H Kasuya; S Ogawa; K Mashima; S Ebihara
Journal:  J Acoust Soc Am       Date:  1986-11       Impact factor: 1.840

5.  A pitch-synchronous analysis of hoarseness in running speech.

Authors:  H Muta; T Baer; K Wagatsuma; T Muraoka; H Fukuda
Journal:  J Acoust Soc Am       Date:  1988-10       Impact factor: 1.840

6.  Perception of aperiodicities in synthetically generated voices.

Authors:  J Hillenbrand
Journal:  J Acoust Soc Am       Date:  1988-06       Impact factor: 1.840

Review 7.  Perceptual evaluation of voice quality: review, tutorial, and a framework for future research.

Authors:  J Kreiman; B R Gerratt; G B Kempster; A Erman; G S Berke
Journal:  J Speech Hear Res       Date:  1993-02

8.  A cepstrum-based technique for determining a harmonics-to-noise ratio in speech signals.

Authors:  G de Krom
Journal:  J Speech Hear Res       Date:  1993-04

9.  The quantitative evaluation of hoarseness.

Authors:  E Yumoto
Journal:  Arch Otolaryngol       Date:  1983-01

10.  Harmonics-to-noise ratio as an index of the degree of hoarseness.

Authors:  E Yumoto; W J Gould; T Baer
Journal:  J Acoust Soc Am       Date:  1982-06       Impact factor: 1.840

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  2 in total

1.  Experimental validation of quasi-one-dimensional and two-dimensional steady glottal flow models.

Authors:  Julien Cisonni; Annemie Van Hirtum; Xiao Yu Luo; Xavier Pelorson
Journal:  Med Biol Eng Comput       Date:  2010-06-16       Impact factor: 2.602

2.  Oncological and functional outcome after surgical treatment of early glottic carcinoma without anterior commissure involvement.

Authors:  Jovica Milovanovic; Ana Jotic; Vojko Djukic; Bojan Pavlovic; Aleksandar Trivic; Sanja Krejovic-Trivic; Andjela Milovanovic; Aleksandar Milovanovic; Vera Artiko; Bojan Banko
Journal:  Biomed Res Int       Date:  2014-06-02       Impact factor: 3.411

  2 in total

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