Literature DB >> 12880052

Perceived naturalness of spectrally distorted speech and music.

Brian C J Moore1, Chin-Tuan Tan.   

Abstract

We determined how the perceived naturalness of music and speech (male and female talkers) signals was affected by various forms of linear filtering, some of which were intended to mimic the spectral "distortions" introduced by transducers such as microphones, loudspeakers, and earphones. The filters introduced spectral tilts and ripples of various types, variations in upper and lower cutoff frequency, and combinations of these. All of the differently filtered signals (168 conditions) were intermixed in random order within one block of trials. Levels were adjusted to give approximately equal loudness in all conditions. Listeners were required to judge the perceptual quality (naturalness) of the filtered signals on a scale from 1 to 10. For spectral ripples, perceived quality decreased with increasing ripple density up to 0.2 ripple/ERB(N) and with increasing ripple depth. Spectral tilts also degraded quality, and the effects were similar for positive and negative tilts. Ripples and/or tilts degraded quality more when they extended over a wide frequency range (87-6981 Hz) than when they extended over subranges. Low- and mid-frequency ranges were roughly equally important for music, but the mid-range was most important for speech. For music, the highest quality was obtained for the broadband signal (55-16,854 Hz). Increasing the lower cutoff frequency from 55 Hz resulted in a clear degradation of quality. There was also a distinct degradation as the upper cutoff frequency was decreased from 16,845 Hz. For speech, there was a marked degradation when the lower cutoff frequency was increased from 123 to 208 Hz and when the upper cutoff frequency was decreased from 10,869 Hz. Typical telephone bandwidth (313 to 3547 Hz) gave very poor quality.

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Year:  2003        PMID: 12880052     DOI: 10.1121/1.1577552

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


  40 in total

1.  Current and planned cochlear implant research at New York University Laboratory for Translational Auditory Research.

Authors:  Mario A Svirsky; Matthew B Fitzgerald; Arlene Neuman; Elad Sagi; Chin-Tuan Tan; Darlene Ketten; Brett Martin
Journal:  J Am Acad Audiol       Date:  2012-06       Impact factor: 1.664

2.  Detection of high-frequency energy changes in sustained vowels produced by singers.

Authors:  Brian B Monson; Andrew J Lotto; Sten Ternström
Journal:  J Acoust Soc Am       Date:  2011-04       Impact factor: 1.840

3.  The effects of physiological adjustments on the perceptual and acoustical characteristics of vibrato as a model of vocal tremor.

Authors:  Rosemary A Lester-Smith; Brad H Story
Journal:  J Acoust Soc Am       Date:  2016-11       Impact factor: 1.840

4.  Analog-to-digital conversion to accommodate the dynamics of live music in hearing instruments.

Authors:  Neil S Hockley; Frauke Bahlmann; Bernadette Fulton
Journal:  Trends Amplif       Date:  2012-09

5.  [Effect of frequency compression in hearing aids on speech intelligibility and subjective sound quality].

Authors:  M Leifholz; S Margolf-Hackl; S Kreikemeier; J Kiessling
Journal:  HNO       Date:  2013-04       Impact factor: 1.284

6.  Detection of high-frequency energy level changes in speech and singing.

Authors:  Brian B Monson; Andrew J Lotto; Brad H Story
Journal:  J Acoust Soc Am       Date:  2014-01       Impact factor: 1.840

7.  Electrophysiological Evidence of Early Cortical Sensitivity to Human Conspecific Mimic Voice as a Distinct Category of Natural Sound.

Authors:  William J Talkington; Jeremy Donai; Alexandra S Kadner; Molly L Layne; Andrew Forino; Sijin Wen; Si Gao; Margeaux M Gray; Alexandria J Ashraf; Gabriela N Valencia; Brandon D Smith; Stephanie K Khoo; Stephen J Gray; Norman Lass; Julie A Brefczynski-Lewis; Susannah Engdahl; David Graham; Chris A Frum; James W Lewis
Journal:  J Speech Lang Hear Res       Date:  2020-09-16       Impact factor: 2.297

8.  Use of forward pressure level to minimize the influence of acoustic standing waves during probe-microphone hearing-aid verification.

Authors:  Ryan W McCreery; Andrea Pittman; James Lewis; Stephen T Neely; Patricia G Stelmachowicz
Journal:  J Acoust Soc Am       Date:  2009-07       Impact factor: 1.840

9.  Preliminary evaluation of a light-based contact hearing device for the hearing impaired.

Authors:  Jonathan P Fay; Rodney Perkins; Suzanne Carr Levy; Michael Nilsson; Sunil Puria
Journal:  Otol Neurotol       Date:  2013-07       Impact factor: 2.311

10.  The Hearing-Aid Audio Quality Index (HAAQI).

Authors:  James M Kates; Kathryn H Arehart
Journal:  IEEE/ACM Trans Audio Speech Lang Process       Date:  2015-12-10
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