Skip to main content

News about Scitation

In December 2016 Scitation will launch with a new design, enhanced navigation and a much improved user experience.

To ensure a smooth transition, from today, we are temporarily stopping new account registration and single article purchases. If you already have an account you can continue to use the site as normal.

For help or more information please visit our FAQs.

banner image
No data available.
Please log in to see this content.
You have no subscription access to this content.
No metrics data to plot.
The attempt to load metrics for this article has failed.
The attempt to plot a graph for these metrics has failed.
The full text of this article is not currently available.
/content/asa/journal/jasa/134/4/10.1121/1.4819183
1.
1. M. Pannbacker, “ Classification systems of voice disorders: A review of the literature,” Language Speech Hearing Serv. Schools 15, 169174 (1984).
2.
2. M. Hirano, “ Psycho-acoustic evaluation of voice,” in Clinical Examination of Voice (Springer-Verlag, New York, 1981), p. 81.
3.
3. G. de Krom, “ Some spectral correlates of pathological breathy and rough voice quality for different types of vowel fragments,” J. Speech Hear. Res. 38, 794811 (1995).
4.
4. M. A. Toner, F. W. Emanuel, and D. Parker, “ Relationship of spectral noise levels to psychophysical scaling of vowel roughness,” J. Speech Hear. Res. 33(2), 238244 (1990).
5.
5. N. A. MacMillan and C. D. Creelman, Detection Theory: A User's Guide (Psychology Press, New York, 2005).
6.
6. S. A. Patel, R. Shrivastav, and D. A. Eddins, “ Perceptual distances of breathy voice quality: A comparison of psychophysical methods,” J. Voice 24, 168177 (2011).
7.
7. J. Kreiman, B. Gerratt, and M. Ito, “ When and why listeners disagree in voice quality assessment tasks,” J. Acoust. Soc. Am. 122, 23542364 (2007).
http://dx.doi.org/10.1121/1.2770547
8.
8. S. A. Patel, R. Shrivastav, and D. A. Eddins, “ Identifying a comparison for matching roughness.J. Speech Lang. Hear. Res. 55, 14071422 (2012).
http://dx.doi.org/10.1044/1092-4388(2012/11-0160)
9.
9. B. R. Gerratt and J. Kreiman, “ Measuring voice quality with speech synthesis.J. Acoust. Soc. Am. 110, 25602566 (2001).
http://dx.doi.org/10.1121/1.1409969
10.
10. J. Kreiman, N. Antoñanzas-Barroso, and B. R. Gerratt, “ Integrated software for analysis and synthesis of voice quality,” Behav. Res. Methods. 42(4), 10301041 (2010).
http://dx.doi.org/10.3758/BRM.42.4.1030
11.
11. S. A. Patel, R. Shrivastav, and D. A. Eddins, “ Developing a single reference signal for matching breathy voice quality,” J. Speech Lang. Hear. Res. 55, 639647 (2012).
http://dx.doi.org/10.1044/1092-4388(2011/10-0337)
12.
12. K. Belkin, R. Martin, S. E. Kemp, and A. N. Gilbert, “ Auditory pitch as a perceptual analogue to odor quality,” Psychol Sci. 8, 340342 (1997).
http://dx.doi.org/10.1111/j.1467-9280.1997.tb00450.x
13.
13. J. C. Stevens and J. W. Hall, “ Brightness and loudness as functions of stimulus duration,” Percept. Psychophys. 1, 319327 (1966).
14.
14. W. M. Hartmann and J. Pumplin, “ Periodic signals with minimal power fluctuations,” J. Acoust. Soc. Am. 90, 19861999 (1991).
http://dx.doi.org/10.1121/1.401678
15.
15. ANSI S3.21-2010: Methods for manual pure-tone threshold audiometry (American National Standards Institute, New York, 2010).
http://aip.metastore.ingenta.com/content/asa/journal/jasa/134/4/10.1121/1.4819183
Loading
/content/asa/journal/jasa/134/4/10.1121/1.4819183
Loading

Data & Media loading...

Loading

Article metrics loading...

/content/asa/journal/jasa/134/4/10.1121/1.4819183
2013-09-06
2016-12-09

Abstract

A psychophysical matching paradigm has been used to better quantify voice quality under laboratory conditions. The goals of this study were to establish which of two candidate comparison stimuli would best ensure that the range of perceived vocal roughness could be adequately bracketed using a matching task and to provide a general solution to the problem of estimating vocal roughness. Psychometric functions for roughness matching indicated that a speech-like sawtooth-plus-noise complex (20 dB signal-to-noise ratio) amplitude modulated by a sinusoidal function raised to the 4th power yielded a comparison stimulus with a perceptual dynamic range well suited for roughness matching.

Loading

Full text loading...

/deliver/fulltext/asa/journal/jasa/134/4/1.4819183.html;jsessionid=e8S6URYrN5ids_9v83-sJgk7.x-aip-live-03?itemId=/content/asa/journal/jasa/134/4/10.1121/1.4819183&mimeType=html&fmt=ahah&containerItemId=content/asa/journal/jasa
true
true

Access Key

  • FFree Content
  • OAOpen Access Content
  • SSubscribed Content
  • TFree Trial Content
752b84549af89a08dbdd7fdb8b9568b5 journal.articlezxybnytfddd
/content/realmedia?fmt=ahah&adPositionList=
&advertTargetUrl=//oascentral.aip.org/RealMedia/ads/&sitePageValue=asadl.org/jasa/134/4/10.1121/1.4819183&pageURL=http://scitation.aip.org/content/asa/journal/jasa/134/4/10.1121/1.4819183'
Right1,Right2,Right3,