The French MBAA2 sentence recognition in noise test for cochlear implant users

被引:4
作者
James, C. J. [1 ]
Laborde, Marie-Laurence [2 ]
Algans, C. [2 ]
Tartayre, M. [2 ]
Cochard, N. [2 ]
Fraysse, B. [2 ]
Deguine, O. [2 ,3 ]
Marx, M. [2 ,3 ]
Karoui, C. [1 ,2 ,3 ]
机构
[1] Cochlear France SAS, Toulouse, France
[2] Hop Purpan, Serv ORL, Toulouse, France
[3] Univ Paul Sabatier, Ctr Rech Cerveau & Cognit, Toulouse, France
关键词
Sentence recognition; signal-to-noise ratio; test reliability; deafness; cochlear implant; SPEECH-INTELLIGIBILITY; RELIABILITY; THRESHOLD; HEARING;
D O I
10.1080/14992027.2022.2045368
中图分类号
R36 [病理学]; R76 [耳鼻咽喉科学];
学科分类号
100104 ; 100213 ;
摘要
Objective The "Marginal benefit from acoustic amplification" version 2 (MBAA2) sentence test has been used in France in the routine evaluation of cochlear implant (CI) users for 20 years. Here we present four studies that characterise and validate the test, and compare it with the French matrix sentence test. Design and sample An analytic method was developed to obtain speech recognition threshold in noise (SNR50) from testing at a fixed signal to noise ratios (SNRs). Speech recognition was measured at several fixed SNRs in 18 normal-hearing listeners and 15 CI listeners. Then, the test-retest reliability of the MBAA2 was measured in an additional 15 CI listeners. Finally, list equivalence was evaluated in eight CI listeners. Results The MBAA2 test produced lower SNR50s and SNR50s were obtained in more CI listeners than with the French matrix test. For the MBAA2, the standard deviation of test-retest differences in CI listeners was around 1 dB SNR. Three lists had deviant difficulty and nine low item-to-total correlations. Conclusions We propose to reduce the number of MBAA2 test lists to reduce variability. The MBAA2 test has high test-retest reliability for percent correct and SNR50, and is suitable for the assessment of cochlear implant patients.
引用
收藏
页码:304 / 311
页数:8
相关论文
共 22 条
  • [1] Ambert-Dahan E., 2020, PERSONAL COMMUNICATI
  • [2] Fitting Linear Mixed-Effects Models Using lme4
    Bates, Douglas
    Maechler, Martin
    Bolker, Benjamin M.
    Walker, Steven C.
    [J]. JOURNAL OF STATISTICAL SOFTWARE, 2015, 67 (01): : 1 - 48
  • [3] Development and validation of the FrBio, an international French adaptation of the AzBio sentence lists
    Bergeron, Francois
    Berland, Aurore
    Fitzpatric, Elizabeth M.
    Vincent, Christophe
    Giasson, Annie
    Kam, Kevin Leung
    Chafici, Walid
    Fanouillere, Thibaut
    Demers, Dominique
    [J]. INTERNATIONAL JOURNAL OF AUDIOLOGY, 2019, 58 (08) : 510 - 515
  • [4] VOICE FUNDAMENTAL-FREQUENCY AS AN AUDITORY SUPPLEMENT TO THE SPEECHREADING OF SENTENCES
    BOOTHROYD, A
    HNATHCHISOLM, T
    HANIN, L
    KISHONRABIN, L
    [J]. EAR AND HEARING, 1988, 9 (06) : 306 - 312
  • [5] Efficient adaptive procedures for threshold and concurrent slope estimates for psychophysics and speech intelligibility tests
    Brand, T
    Kollmeier, B
    [J]. JOURNAL OF THE ACOUSTICAL SOCIETY OF AMERICA, 2002, 111 (06) : 2801 - 2810
  • [6] Fraysse B, 1998, AM J OTOL, V19, P591
  • [7] Residual hearing conservation and electroacoustic stimulation with the nucleus 24 contour advance cochlear implant
    Fraysse, Bernard
    Macias, Angel Ramos
    Sterkers, Olivier
    Burdo, Sandro
    Ramsden, Richard
    Deguine, Olivier
    Klenzner, Thomas
    Lenarz, Thomas
    Rodriguez, Manuel Manrique
    Von Wallenberg, Ernst
    James, Chris
    [J]. OTOLOGY & NEUROTOLOGY, 2006, 27 (05) : 624 - 633
  • [8] SENTENCES FOR TESTING SPEECH-INTELLIGIBILITY IN NOISE
    HAGERMAN, B
    [J]. SCANDINAVIAN AUDIOLOGY, 1982, 11 (02): : 79 - 87
  • [9] Investigation of a matrix sentence test in noise: Reproducibility and discrimination function in cochlear implant patients
    Hey, Matthias
    Hocke, Thomas
    Hedderich, Juergen
    Mueller-Deile, Joachim
    [J]. INTERNATIONAL JOURNAL OF AUDIOLOGY, 2014, 53 (12) : 895 - 902
  • [10] Early Sentence Recognition in Adult Cochlear Implant Users
    James, Chris J.
    Karoui, Chadlia
    Laborde, Marie-Laurence
    Lepage, Benoit
    Molinier, Charles-Edouard
    Tartayre, Marjorie
    Escude, Bernard
    Deguine, Olivier
    Marx, Mathieu
    Fraysse, Bernard
    [J]. EAR AND HEARING, 2019, 40 (04) : 905 - 917