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Volumn 22, Issue 1, 2001, Pages 46-57

Predicted and measured speech recognition performance in noise with linear amplification

Author keywords

[No Author keywords available]

Indexed keywords

AGED; ARTICLE; CLINICAL ARTICLE; FEMALE; HEARING AID; HEARING LOSS; HUMAN; MALE; NOISE; PHONEME; RELIABILITY; SPEECH DISCRIMINATION; SPEECH INTELLIGIBILITY;

EID: 0035131756     PISSN: 01960202     EISSN: None     Source Type: Journal    
DOI: 10.1097/00003446-200102000-00005     Document Type: Article
Times cited : (20)

References (29)
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    • Byrne, D.1    Dillon, H.2
  • 9
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    • A model to evaluate and maximize hearing aid performance by integrating the articulation index across listening conditions
    • (1994) Ear and Hearing , vol.15 , pp. 105-112
    • Hou, Z.1    Thornton, A.R.2
  • 15
    • 0028211451 scopus 로고
    • Speech recognition and just-follow-conversation tasks for normal-hearing and hearing-impaired listeners with different maskers
    • (1994) Audiology , vol.33 , pp. 165-176
    • Larsby, B.1    Arlinger, S.2
  • 18
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    • Reliable clinical determination of speech recognition scores using Swedish PB words in speech-weighted noise
    • (1995) Scandinavian Audiology , vol.24 , pp. 217-223
    • Magnusson, L.1
  • 19
    • 0029935661 scopus 로고    scopus 로고
    • Speech intelligibility index transfer functions and speech spectra for two Swedish speech recognition tests
    • (1996) Scandinavian Audiology , vol.25 , pp. 59-67
    • Magnusson, L.1
  • 20
    • 0029982910 scopus 로고    scopus 로고
    • Predicting the speech recognition performance of elderly individuals with sensorineural hearing impairment: A procedure based on the speech intelligibility index
    • (1996) Scandinavian Audiology , vol.25 , pp. 215-222
    • Magnusson, L.1
  • 22
    • 0001515139 scopus 로고
    • Hearing aid selection and assessment
    • J. Alpiner & P. McCarthy (Eds.), Rehabilitative audiology: children and adults (2 ed.). Baltimore: Williams & Wilkins
    • (1993)
    • Mueller, G.1    Grimes, A.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.