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Conference Paper: Predicting the speech reception thresholds with physical metrics

TitlePredicting the speech reception thresholds with physical metrics
Authors
Issue Date2013
PublisherAcoustical Society of America. The Journal's web site is located at http://asa.aip.org/jasa.html
Citation
The 166th Meeting of the Acoustical Society of America, San Francisco, California, 2-6 December 2013. In the Journal of the Acoustical Society of America, 2013, v. 134 n. 5, p. 4229-4230, abstract no. 5aPP13 How to Cite?
AbstractMany measures [e.g., speech transmission index (STI) and speech intelligibility index (SII)] have been proposed to predict the speech intelligibility in noise. Nevertheless, most of these studies were performed under the conditions with a limited number of maskers. The present study further investigated how well the present speech intelligibility and quality metrics predicted the speech reception thresholds (SRTs) for sentences corrupted by stationary and fluctuating maskers. The SRT scores were collected from 30 normal-hearing (NH) and 15 hearing-impaired (HI) native-Cantonese listeners. Sentences were corrupted by nine types of maskers, including speech-shaped noise and eight real-life environmental noises (4- and 6-talker babbles, upper and lower deck in bus, cafe, Chinese restaurant, MTR carriage, and street). The resulting average SRT scores were subject to the correlation analysis with various metrics computed from the noise-masked sentences. Of all the objective metrics considered, the STI and CSII measures performed the best, and their high correlations (i.e., r = 0.91 to 0.96) were maintained in both NH and HI conditions. This suggests that some of the physical metrics that have been found previously to correlate highly with the intelligibility of sentences in noise may also be used to predict the SRTs affected by different maskers. © 2013 Acoustical Society of America
Persistent Identifierhttp://hdl.handle.net/10722/201601
ISSN
2015 Impact Factor: 1.572
2015 SCImago Journal Rankings: 0.938

 

DC FieldValueLanguage
dc.contributor.authorChen, FFen_US
dc.contributor.authorWong, LLNen_US
dc.date.accessioned2014-08-21T07:32:04Z-
dc.date.available2014-08-21T07:32:04Z-
dc.date.issued2013en_US
dc.identifier.citationThe 166th Meeting of the Acoustical Society of America, San Francisco, California, 2-6 December 2013. In the Journal of the Acoustical Society of America, 2013, v. 134 n. 5, p. 4229-4230, abstract no. 5aPP13en_US
dc.identifier.issn0001-4966-
dc.identifier.urihttp://hdl.handle.net/10722/201601-
dc.description.abstractMany measures [e.g., speech transmission index (STI) and speech intelligibility index (SII)] have been proposed to predict the speech intelligibility in noise. Nevertheless, most of these studies were performed under the conditions with a limited number of maskers. The present study further investigated how well the present speech intelligibility and quality metrics predicted the speech reception thresholds (SRTs) for sentences corrupted by stationary and fluctuating maskers. The SRT scores were collected from 30 normal-hearing (NH) and 15 hearing-impaired (HI) native-Cantonese listeners. Sentences were corrupted by nine types of maskers, including speech-shaped noise and eight real-life environmental noises (4- and 6-talker babbles, upper and lower deck in bus, cafe, Chinese restaurant, MTR carriage, and street). The resulting average SRT scores were subject to the correlation analysis with various metrics computed from the noise-masked sentences. Of all the objective metrics considered, the STI and CSII measures performed the best, and their high correlations (i.e., r = 0.91 to 0.96) were maintained in both NH and HI conditions. This suggests that some of the physical metrics that have been found previously to correlate highly with the intelligibility of sentences in noise may also be used to predict the SRTs affected by different maskers. © 2013 Acoustical Society of America-
dc.languageengen_US
dc.publisherAcoustical Society of America. The Journal's web site is located at http://asa.aip.org/jasa.html-
dc.relation.ispartofJournal of the Acoustical Society of Americaen_US
dc.rightsJournal of the Acoustical Society of America. Copyright © Acoustical Society of America.-
dc.titlePredicting the speech reception thresholds with physical metricsen_US
dc.typeConference_Paperen_US
dc.identifier.emailChen, FF: feichen1@hku.hken_US
dc.identifier.emailWong, LLN: llnwong@hku.hken_US
dc.identifier.authorityChen, FF=rp01593en_US
dc.identifier.authorityWong, LLN=rp00975en_US
dc.description.naturelink_to_OA_fulltext-
dc.identifier.doi10.1121/1.4831539-
dc.identifier.hkuros233508en_US
dc.identifier.hkuros233515-
dc.identifier.volume134-
dc.identifier.issue5-
dc.identifier.spage4229, abstract no. 5aPP13-
dc.identifier.epage4230, abstract no. 5aPP13-
dc.publisher.placeUnited Statesen_US

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