Use of a Compound Approach to Derive Auditory-filter-wide Frequency-importance Functions for Vowels and Consonants

Overview

Journal J Acoust Soc Am

Publisher American Institute of Physics

Specialty Otorhinolaryngology

Date 2012 Aug 17

PMID 22894227

Citations 13

Authors

Frederic Apoux

Eric W Healy

Affiliations

Soon will be listed here.

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.

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References

Apoux F, Healy E . On the number of auditory filter outputs needed to understand speech: further evidence for auditory channel independence. Hear Res. 2009; 255(1-2):99-108. PMC: 2801594. DOI: 10.1016/j.heares.2009.06.005. View

Hillenbrand J, Getty L, Clark M, Wheeler K . Acoustic characteristics of American English vowels. J Acoust Soc Am. 1995; 97(5 Pt 1):3099-111. DOI: 10.1121/1.411872. View

Grant K, Braida L . Evaluating the articulation index for auditory-visual input. J Acoust Soc Am. 1991; 89(6):2952-60. DOI: 10.1121/1.400733. View

DePaolis R, Janota C, Frank T . Frequency importance functions for words, sentences, and continuous discourse. J Speech Hear Res. 1996; 39(4):714-23. DOI: 10.1044/jshr.3904.714. View

Bell T, DIRKS D, Trine T . Frequency-importance functions for words in high- and low-context sentences. J Speech Hear Res. 1992; 35(4):950-9. DOI: 10.1044/jshr.3504.950. View

Breeuwer M, PLOMP R . Speechreading supplemented with frequency-selective sound-pressure information. J Acoust Soc Am. 1984; 76(3):686-91. DOI: 10.1121/1.391255. View

Cooke M . A glimpsing model of speech perception in noise. J Acoust Soc Am. 2006; 119(3):1562-73. DOI: 10.1121/1.2166600. View

Brungart D, Chang P, Simpson B, Wang D . Isolating the energetic component of speech-on-speech masking with ideal time-frequency segregation. J Acoust Soc Am. 2007; 120(6):4007-18. DOI: 10.1121/1.2363929. View

Apoux F, Bacon S . Relative importance of temporal information in various frequency regions for consonant identification in quiet and in noise. J Acoust Soc Am. 2004; 116(3):1671-80. DOI: 10.1121/1.1781329. View

10.

Doherty K, Turner C . Use of a correlational method to estimate a listener's weighting function for speech. J Acoust Soc Am. 1996; 100(6):3769-73. DOI: 10.1121/1.417336. View

11.

Apoux F, Healy E . Relative contribution of off- and on-frequency spectral components of background noise to the masking of unprocessed and vocoded speech. J Acoust Soc Am. 2010; 128(4):2075-84. PMC: 2981119. DOI: 10.1121/1.3478845. View

12.

Shannon R, Galvin 3rd J, Baskent D . Holes in hearing. J Assoc Res Otolaryngol. 2002; 3(2):185-99. PMC: 3202404. DOI: 10.1007/s101620020021. View

13.

Breeuwer M, PLOMP R . Speechreading supplemented with auditorily presented speech parameters. J Acoust Soc Am. 1986; 79(2):481-99. DOI: 10.1121/1.393536. View

14.

Glasberg B, Moore B . Derivation of auditory filter shapes from notched-noise data. Hear Res. 1990; 47(1-2):103-38. DOI: 10.1016/0378-5955(90)90170-t. View

15.

STUDEBAKER G, Sherbecoe R . Frequency-importance and transfer functions for recorded CID W-22 word lists. J Speech Hear Res. 1991; 34(2):427-38. DOI: 10.1044/jshr.3402.427. View

16.

Healy E, Bacon S . Effect of spectral frequency range and separation on the perception of asynchronous speech. J Acoust Soc Am. 2007; 121(3):1691-700. DOI: 10.1121/1.2427113. View

17.

Warren R, Riener K, Bashford Jr J, Brubaker B . Spectral redundancy: intelligibility of sentences heard through narrow spectral slits. Percept Psychophys. 1995; 57(2):175-82. DOI: 10.3758/bf03206503. View

18.

Li N, Loizou P . Factors influencing glimpsing of speech in noise. J Acoust Soc Am. 2007; 122(2):1165-72. PMC: 2678552. DOI: 10.1121/1.2749454. View

19.

Turner C, Kwon B, Tanaka C, Knapp J, Hubbartt J, Doherty K . Frequency-weighting functions for broadband speech as estimated by a correlational method. J Acoust Soc Am. 1998; 104(3 Pt 1):1580-5. DOI: 10.1121/1.424370. View

20.

Healy E, Warren R . The role of contrasting temporal amplitude patterns in the perception of speech. J Acoust Soc Am. 2003; 113(3):1676-88. DOI: 10.1121/1.1553464. View