Literature DB >> 22894227

Use of a compound approach to derive auditory-filter-wide frequency-importance functions for vowels and consonants.

Frédéric Apoux1, Eric W Healy.   

Abstract

Speech recognition in noise presumably relies on the number and spectral location of available auditory-filter outputs containing a relatively undistorted view of local target signal properties. The purpose of the present study was to estimate the relative weight of each of the 30 auditory-filter wide bands between 80 and 7563 Hz. Because previous approaches were not compatible with this goal, a technique was developed. Similar to the "hole" approach, the weight of a given band was assessed by comparing intelligibility in two conditions differing in only one aspect-the presence or absence of the band of interest. In contrast to the hole approach, however, random gaps were also created in the spectrum. These gaps were introduced to render the auditory system more sensitive to the removal of a single band and their location was randomized to provide a general view of the weight of each band, i.e., irrespective of the location of information elsewhere in the spectrum. Frequency-weighting functions derived using this technique confirmed the main contribution of the 400-2500 Hz frequency region. However, they revealed a complex microstructure, contrasting with the "bell curve" shape typically reported.

Mesh:

Year:  2012        PMID: 22894227      PMCID: PMC3427368          DOI: 10.1121/1.4730905

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


  24 in total

1.  Using statistical decision theory to predict speech intelligibility. I. Model structure.

Authors:  H Müsch; S Buus
Journal:  J Acoust Soc Am       Date:  2001-06       Impact factor: 1.840

2.  The role of contrasting temporal amplitude patterns in the perception of speech.

Authors:  Eric W Healy; Richard M Warren
Journal:  J Acoust Soc Am       Date:  2003-03       Impact factor: 1.840

3.  Relative importance of temporal information in various frequency regions for consonant identification in quiet and in noise.

Authors:  Frédéric Apoux; Sid P Bacon
Journal:  J Acoust Soc Am       Date:  2004-09       Impact factor: 1.840

4.  Derivation of auditory filter shapes from notched-noise data.

Authors:  B R Glasberg; B C Moore
Journal:  Hear Res       Date:  1990-08-01       Impact factor: 3.208

5.  Frequency-importance and transfer functions for recorded CID W-22 word lists.

Authors:  G A Studebaker; R L Sherbecoe
Journal:  J Speech Hear Res       Date:  1991-04

6.  Relative contribution of off- and on-frequency spectral components of background noise to the masking of unprocessed and vocoded speech.

Authors:  Frédéric Apoux; Eric W Healy
Journal:  J Acoust Soc Am       Date:  2010-10       Impact factor: 1.840

7.  The intelligibility of speech with "holes" in the spectrum.

Authors:  Kalyan Kasturi; Philipos C Loizou; Michael Dorman; Tony Spahr
Journal:  J Acoust Soc Am       Date:  2002-09       Impact factor: 1.840

8.  Speechreading supplemented with formant-frequency information from voiced speech.

Authors:  M Breeuwer; R Plomp
Journal:  J Acoust Soc Am       Date:  1985-01       Impact factor: 1.840

9.  Speechreading supplemented with auditorily presented speech parameters.

Authors:  M Breeuwer; R Plomp
Journal:  J Acoust Soc Am       Date:  1986-02       Impact factor: 1.840

10.  Speechreading supplemented with frequency-selective sound-pressure information.

Authors:  M Breeuwer; R Plomp
Journal:  J Acoust Soc Am       Date:  1984-09       Impact factor: 1.840

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  11 in total

1.  Dual-carrier processing to convey temporal fine structure cues: Implications for cochlear implants.

Authors:  Frédéric Apoux; Carla L Youngdahl; Sarah E Yoho; Eric W Healy
Journal:  J Acoust Soc Am       Date:  2015-09       Impact factor: 1.840

2.  The effect of speech material on the band importance function for Mandarin Chinese.

Authors:  Yufan Du; Yi Shen; Xihong Wu; Jing Chen
Journal:  J Acoust Soc Am       Date:  2019-07       Impact factor: 1.840

3.  Measuring time-frequency importance functions of speech with bubble noise.

Authors:  Michael I Mandel; Sarah E Yoho; Eric W Healy
Journal:  J Acoust Soc Am       Date:  2016-10       Impact factor: 1.840

4.  Speech recognition for multiple bands: Implications for the Speech Intelligibility Index.

Authors:  Larry E Humes; Gary R Kidd
Journal:  J Acoust Soc Am       Date:  2016-09       Impact factor: 1.840

5.  Band importance functions of listeners with cochlear implants using clinical maps.

Authors:  Adam K Bosen; Monita Chatterjee
Journal:  J Acoust Soc Am       Date:  2016-11       Impact factor: 1.840

6.  Band importance for sentences and words reexamined.

Authors:  Eric W Healy; Sarah E Yoho; Frédéric Apoux
Journal:  J Acoust Soc Am       Date:  2013-01       Impact factor: 1.840

7.  Individualized estimation of the Speech Intelligibility Index for short sentences: Test-retest reliability.

Authors:  Yi Shen; Donghyeon Yun; Yi Liu
Journal:  J Acoust Soc Am       Date:  2020-09       Impact factor: 1.840

8.  Speech-material and talker effects in speech band importance.

Authors:  Sarah E Yoho; Eric W Healy; Carla L Youngdahl; Tyson S Barrett; Frédéric Apoux
Journal:  J Acoust Soc Am       Date:  2018-03       Impact factor: 1.840

9.  The noise susceptibility of various speech bands.

Authors:  Sarah E Yoho; Frédéric Apoux; Eric W Healy
Journal:  J Acoust Soc Am       Date:  2018-04       Impact factor: 1.840

10.  Individualized frequency importance functions for listeners with sensorineural hearing loss.

Authors:  Sarah E Yoho; Adam K Bosen
Journal:  J Acoust Soc Am       Date:  2019-02       Impact factor: 1.840

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