Individual differences in speech intelligibility at a cocktail party: A modeling perspective

被引:8
作者
Lavandier, Mathieu [1 ]
Mason, Christine R. [2 ]
Baltzell, Lucas S. [2 ]
Best, Virginia [2 ]
机构
[1] Univ Lyon, ENTPE, Lab Tribol & Dynam Syst UMR 5513, Rue Maurice Audin, F-69518 Vaulx En Velin, France
[2] Boston Univ, Dept Speech Language & Hearing Sci, Boston, MA 02215 USA
基金
美国国家卫生研究院;
关键词
FUNDAMENTAL-FREQUENCY CONTOUR; NORMAL-HEARING; NOISE; PREDICTION; LISTENERS; ROOMS; REVERBERATION; PERFORMANCE; IMPAIRMENT; MASKING;
D O I
10.1121/10.0005851
中图分类号
O42 [声学];
学科分类号
070206 ; 082403 ;
摘要
This study aimed at predicting individual differences in speech reception thresholds (SRTs) in the presence of symmetrically placed competing talkers for young listeners with sensorineural hearing loss. An existing binaural model incorporating the individual audiogram was revised to handle severe hearing losses by (a) taking as input the target speech level at SRT in a given condition and (b) introducing a floor in the model to limit extreme negative better-ear signal-to-noise ratios. The floor value was first set using SRTs measured with stationary and modulated noises. The model was then used to account for individual variations in SRTs found in two previously published data sets that used speech maskers. The model accounted well for the variation in SRTs across listeners with hearing loss, based solely on differences in audibility. When considering listeners with normal hearing, the model could predict the best SRTs, but not the poorer SRTs, suggesting that other factors limit performance when audibility (as measured with the audiogram) is not compromised.
引用
收藏
页码:1076 / 1087
页数:12
相关论文
共 50 条
[31]   KALMAN FILTER FOR SPEECH ENHANCEMENT IN COCKTAIL PARTY SCENARIOS USING A CODEBOOK-BASED APPROACH [J].
Kavalekalam, Mathew Shaji ;
Christensen, Mads Graesboll ;
Gran, Fredrik ;
Boldt, Jesper B. .
2016 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH AND SIGNAL PROCESSING PROCEEDINGS, 2016, :191-195
[32]   Modeling Sluggishness in Binaural Unmasking of Speech for Maskers With Time-Varying Interaural Phase Differences [J].
Hauth, Christopher F. ;
Brand, Thomas .
TRENDS IN HEARING, 2018, 22
[33]   Cutting corners at work: An individual differences perspective [J].
Jonason, Peter K. ;
O'Connor, Peter J. .
PERSONALITY AND INDIVIDUAL DIFFERENCES, 2017, 107 :146-153
[34]   Talker Differences in Clear and Conversational Speech: Vowel Intelligibility for Older Adults With Hearing Loss [J].
Ferguson, Sarah Hargus .
JOURNAL OF SPEECH LANGUAGE AND HEARING RESEARCH, 2012, 55 (03) :779-790
[35]   Individual differences in language and working memory affect children's speech recognition in noise [J].
McCreery, Ryan W. ;
Spratford, Meredith ;
Kirby, Benjamin ;
Brennan, Marc .
INTERNATIONAL JOURNAL OF AUDIOLOGY, 2017, 56 (05) :306-315
[36]   Prosodic Differences in Human- and Alexa-Directed Speech, but Similar Local Intelligibility Adjustments [J].
Cohn, Michelle ;
Zellou, Georgia .
FRONTIERS IN COMMUNICATION, 2021, 6
[37]   Modeling the influence of individual differences on knowledge hiding [J].
Zhang, Ying ;
Rong, Shiyu ;
Dunlop, Elizabeth ;
Jiang, Rong ;
Zhang, Zhenyong ;
Tang, Jun Qing .
JOURNAL OF KNOWLEDGE MANAGEMENT, 2023, 27 (06) :1637-1659
[38]   Individual Differences in Speech Recognition Changes After Cochlear Implantation [J].
Dornhoffer, James R. ;
Reddy, Priyanka ;
Meyer, Ted A. ;
Schvartz-Leyzac, Kara C. ;
Dubno, Judy R. ;
McRackan, Theodore R. .
JAMA OTOLARYNGOLOGY-HEAD & NECK SURGERY, 2021, 147 (03) :280-286
[39]   Implicit learning and individual differences in speech recognition: an exploratory study [J].
Khayr, Ranin ;
Karawani, Hanin ;
Banai, Karen .
FRONTIERS IN PSYCHOLOGY, 2023, 14
[40]   Speech Modification for Intelligibility in Cochlear Implant Listeners: Individual Effects of Vowel- and Consonant-Boosting [J].
Saba, Juliana N. ;
Hansen, John H. L. .
INTERSPEECH 2022, 2022, :5473-5477