Literature DB >> 10212434

The estimation of signal-to-noise ratio in continuous speech for disordered voices.

Y Qi, R E Hillman, C Milstein.   

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Year:  1999        PMID： 10212434     DOI： 10.1121/1.426860

Source DB:  PubMed          Journal:  J Acoust Soc Am        ISSN： 0001-4966            Impact factor:   1.840


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  6 in total

1.  Feature analysis of pathological speech signals using local discriminant bases technique.

Authors:  K Umapathy; S Krishnan
Journal:  Med Biol Eng Comput       Date:  2005-07       Impact factor: 2.602

2.  Vocal dysperiodicities estimation by means of adaptive long-term prediction.

Authors:  Abdellah Kacha; Frédéric Bettens; Francis Grenez
Journal:  Med Biol Eng Comput       Date:  2006-03       Impact factor: 2.602

3.  Nonlinear dynamic-based analysis of severe dysphonia in patients with vocal fold scar and sulcus vocalis.

Authors:  Seong Hee Choi; Yu Zhang; Jack J Jiang; Diane M Bless; Nathan V Welham
Journal:  J Voice       Date:  2012-04-18       Impact factor: 2.009

4.  Image representation of the acoustic signal: An effective tool for modeling spectral and temporal dynamics of connected speech.

Authors:  Hamzeh Ghasemzadeh; Philip C Doyle; Jeff Searl
Journal:  J Acoust Soc Am       Date:  2022-07       Impact factor: 2.482

5.  Machine learning based identification of relevant parameters for functional voice disorders derived from endoscopic high-speed recordings.

Authors:  Patrick Schlegel; Stefan Kniesburges; Stephan Dürr; Anne Schützenberger; Michael Döllinger
Journal:  Sci Rep       Date:  2020-06-29       Impact factor: 4.379

6.  Interdependencies between acoustic and high-speed videoendoscopy parameters.

Authors:  Patrick Schlegel; Andreas M Kist; Melda Kunduk; Stephan Dürr; Michael Döllinger; Anne Schützenberger
Journal:  PLoS One       Date:  2021-02-02       Impact factor: 3.240
  6 in total

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