Poor phonetic perceivers are affected by cognitive load when resolving talker variability

Journal of the Acoustical Society of America - Tập 138 Số 2 - Trang 571-574 - 2015
Mark Antoniou1, Patrick C. M. Wong2
1MARCS Institute, University of Western Sydney, Locked Bag 1797, Penrith, New South Wales, 2751, Australia
2Department of Linguistics and Modern Languages, The Chinese University of Hong Kong, Shatin, New Territories, Hong Kong Special Administrative Region, China.

Tóm tắt

Speech training paradigms aim to maximise learning outcomes by manipulating external factors such as talker variability. However, not all individuals may benefit from such manipulations because subject-external factors interact with subject-internal ones (e.g., aptitude) to determine speech perception and/or learning success. In a previous tone learning study, high-aptitude individuals benefitted from talker variability, whereas low-aptitude individuals were impaired. Because increases in cognitive load have been shown to hinder speech perception in mixed-talker conditions, it has been proposed that resolving talker variability requires cognitive resources. This proposal leads to the hypothesis that low-aptitude individuals do not use their cognitive resources as efficiently as those with high aptitude. Here, high- and low-aptitude subjects identified pitch contours spoken by multiple talkers under high and low cognitive load conditions established by a secondary task. While high-aptitude listeners outperformed low-aptitude listeners across load conditions, only low-aptitude listeners were impaired by increased cognitive load. The findings suggest that low-aptitude listeners either have fewer available cognitive resources or are poorer at allocating attention to the signal. Therefore, cognitive load is an important factor when considering individual differences in speech perception and training paradigms.

Từ khóa


Tài liệu tham khảo

2015, The effect of intensified language exposure on accommodating talker variability, J. Speech Lang. Hear. Res., 58, 722, 10.1044/2015_JSLHR-S-14-0259

1966, Short-term memory for word sequences as a function of acoustic, semantic and formal similarity, Q. J. Exp. Psychol., 18, 362, 10.1080/14640746608400055

2005, Effects of acoustic variability on second language vocabulary learning, Stud. Second Lang. Acquis., 27, 387, 10.1017/S0272263105050175

1999, Effects of talker, rate, and amplitude variation on recognition memory for spoken words, Percept. Psychophys., 61, 206, 10.3758/BF03206883

2005, Chunk limits and length limits in immediate recall: A reconciliation, J. Exp. Psychol. Learn. Mem. Cogn., 31, 1235, 10.1037/0278-7393.31.6.1235

1964, Information, acoustic confusion and memory span, Br. J. Psychol., 55, 429, 10.1111/j.2044-8295.1964.tb00928.x

2002, Selective attention and the acquisition of new phonetic categories, J. Exp. Psychol. Hum. Percept. Perform., 28, 349, 10.1037/0096-1523.28.2.349

1991, Training Japanese listeners to identify English /r/ and /l/: A first report, J. Acoust. Soc. Am., 89, 874, 10.1121/1.1894649

2007, Acoustic differences, listener expectations, and the perceptual accommodation of talker variability, J. Exp. Psychol. Hum. Percept. Perform., 33, 391, 10.1037/0096-1523.33.2.391

1989, Effects of talker variability on recall of spoken word lists, J. Exp. Psychol. Learn. Mem. Cogn., 15, 676, 10.1037/0278-7393.15.4.676

2002, Success and failure in teaching the [r]-[l] contrast to Japanese adults: Tests of a Hebbian model of plasticity and stabilization in spoken language perception, Cogn. Affect. Behav. Neurosci., 2, 89, 10.3758/CABN.2.2.89

1989, Some effects of talker variability on spoken word recognition, J. Acoust. Soc. Am., 85, 365, 10.1121/1.397688

Tohkura, 1992, Paying attention to differences among talkers, Speech Perception Production And Linguistic Structure, 113

2011, Learning a novel phonological contrast depends on interactions between individual differences and training paradigm design, J. Acoust. Soc. Am., 130, 461, 10.1121/1.3593366

2012, Linking neurogenetics and individual differences in language learning: The dopamine hypothesis, Cortex, 48, 1091, 10.1016/j.cortex.2012.03.017