English sentence recognition in speech-shaped noise and multi-talker babble for English-, Chinese-, and Korean-native listeners.
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| Title: | English sentence recognition in speech-shaped noise and multi-talker babble for English-, Chinese-, and Korean-native listeners. |
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| Authors: | Jin, Su-Hyun1, Liu, Chang1 |
| Source: | Journal of the Acoustical Society of America. Nov2012, Vol. 132 Issue 5, pEL391-EL397. 7p. |
| Subjects: | Sentences (Grammar), English language sentences, Signal-to-noise ratio, Noise measurement, Noise control |
| Abstract: | This study aimed to investigate English sentence recognition in quiet and two types of maskers, multi-talker babble (MTB) and long-term speech-shaped noise (LTSSN), with varied signal-to-noise ratios, for English-, Chinese-, and Korean-native listeners. Results showed that first, sentence recognition for non-native listeners was affected more by background noise than that for native listeners; second, the masking effects of LTSSN were similar between Chinese and Korean listeners, but the masking effects of MTB were greater for Chinese than for Korean listeners, suggesting possible interaction effects between the non-native listener's native language and speech-like competing noise in sentence recognition. [ABSTRACT FROM AUTHOR] |
| Copyright of Journal of the Acoustical Society of America is the property of American Institute of Physics and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Database: | Engineering Source |
| FullText | Text: Availability: 0 |
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| Header | DbId: egs DbLabel: Engineering Source An: 83255898 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: English sentence recognition in speech-shaped noise and multi-talker babble for English-, Chinese-, and Korean-native listeners. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Jin%2C+Su-Hyun%22">Jin, Su-Hyun</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AR" term="%22Liu%2C+Chang%22">Liu, Chang</searchLink><relatesTo>1</relatesTo> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Journal+of+the+Acoustical+Society+of+America%22">Journal of the Acoustical Society of America</searchLink>. Nov2012, Vol. 132 Issue 5, pEL391-EL397. 7p. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Sentences+%28Grammar%29%22">Sentences (Grammar)</searchLink><br /><searchLink fieldCode="DE" term="%22English+language+sentences%22">English language sentences</searchLink><br /><searchLink fieldCode="DE" term="%22Signal-to-noise+ratio%22">Signal-to-noise ratio</searchLink><br /><searchLink fieldCode="DE" term="%22Noise+measurement%22">Noise measurement</searchLink><br /><searchLink fieldCode="DE" term="%22Noise+control%22">Noise control</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: This study aimed to investigate English sentence recognition in quiet and two types of maskers, multi-talker babble (MTB) and long-term speech-shaped noise (LTSSN), with varied signal-to-noise ratios, for English-, Chinese-, and Korean-native listeners. Results showed that first, sentence recognition for non-native listeners was affected more by background noise than that for native listeners; second, the masking effects of LTSSN were similar between Chinese and Korean listeners, but the masking effects of MTB were greater for Chinese than for Korean listeners, suggesting possible interaction effects between the non-native listener's native language and speech-like competing noise in sentence recognition. [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of Journal of the Acoustical Society of America is the property of American Institute of Physics and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.) |
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| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1121/1.4757730 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 7 StartPage: EL391 Subjects: – SubjectFull: Sentences (Grammar) Type: general – SubjectFull: English language sentences Type: general – SubjectFull: Signal-to-noise ratio Type: general – SubjectFull: Noise measurement Type: general – SubjectFull: Noise control Type: general Titles: – TitleFull: English sentence recognition in speech-shaped noise and multi-talker babble for English-, Chinese-, and Korean-native listeners. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Jin, Su-Hyun – PersonEntity: Name: NameFull: Liu, Chang IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 11 Text: Nov2012 Type: published Y: 2012 Identifiers: – Type: issn-print Value: 00014966 Numbering: – Type: volume Value: 132 – Type: issue Value: 5 Titles: – TitleFull: Journal of the Acoustical Society of America Type: main |
| ResultId | 1 |
