High stimulus variability in nonnative speech learning supports formation of abstract categories: evidence from Japanese geminates.

This study reports effects of a high-variability training procedure on nonnative learning of a Japanese geminate-singleton fricative contrast. Thirty native speakers of Dutch took part in a 5-day training procedure in which they identified geminate and singleton variants of the Japanese fricative /s/. Participants were trained with either many repetitions of a limited set of words recorded by a single speaker (low-variability training) or with fewer repetitions of a more variable set of words recorded by multiple speakers (high-variability training). Both types of training enhanced identification of speech but not of nonspeech materials, indicating that learning was domain specific. High-variability training led to superior performance in identification but not in discrimination tests, and supported better generalization of learning as shown by transfer from the trained fricatives to the identification of untrained stops and affricates. Variability thus helps nonnative listeners to form abstract categories rather than to enhance early acoustic analysis.

[1]  Kaori Idemaru,et al.  Acoustic covariants of length contrast in Japanese stops , 2008, Journal of the International Phonetic Association.

[2]  Makiko Sadakata,et al.  Enhanced perception of various linguistic features by musicians: a cross-linguistic study. , 2011, Acta psychologica.

[3]  Debra M. Hardison,et al.  Acquisition of L2 Japanese geminates: Training with waveform displays , 2009 .

[4]  Keiichi Tajima,et al.  Training English listeners to perceive phonemic length contrasts in Japanese. , 2008, The Journal of the Acoustical Society of America.

[5]  Debra M. Hardison,et al.  Development of perception of second language Japanese geminates: Role of duration, sonority, and segmentation strategy , 2009, Applied Psycholinguistics.

[6]  D. Schön,et al.  Influence of musical expertise and musical training on pitch processing in music and language. , 2007, Restorative neurology and neuroscience.

[7]  D. Pisoni Identification and discrimination of the relative onset time of two component tones: implications for voicing perception in stops. , 1977, The Journal of the Acoustical Society of America.

[8]  G. Booij The Phonology of Dutch , 1995 .

[9]  W. Strange,et al.  Effects of discrimination training on the perception of /r-l/ by Japanese adults learning English , 1984, Perception & psychophysics.

[10]  A. Krishnan,et al.  Musicians and tone-language speakers share enhanced brainstem encoding but not perceptual benefits for musical pitch , 2011, Brain and Cognition.

[11]  Yukari Hirata,et al.  Correspondence of perception and production boundaries between single and geminate stops in Japanese , 2010, INTERSPEECH.

[12]  M. Schouten,et al.  Categorical perception depends on the discrimination task , 2004, Perception & psychophysics.

[13]  Falk Huettig,et al.  Individual Differences in the Acquisition of a Complex L2 Phonology: A Training Study , 2012 .

[14]  M. Coltheart,et al.  Modularity of music processing , 2003, Nature Neuroscience.

[15]  Yukari Hirata,et al.  Effects of speaking rate on the single/geminate stop distinction in Japanese. , 2005, The Journal of the Acoustical Society of America.

[16]  M. Han,et al.  The Timing Control of Geminate and Single Stop Consonants in Japanese: A Challenge for Nonnative Speakers , 1992, Phonetica.

[17]  J. Flege Production and perception of a novel, second-language phonetic contrast. , 1993, The Journal of the Acoustical Society of America.

[18]  D. Pisoni,et al.  Training Japanese listeners to identify English /r/ and /l/: a first report. , 1991, The Journal of the Acoustical Society of America.

[19]  John Kingston,et al.  Contextual effects on the perception of duration , 2006, J. Phonetics.

[20]  Tessa Bent,et al.  Production and Perception of Temporal Patterns in Native and Non-Native Speech , 2008, Phonetica.

[21]  A. Jongman,et al.  Training American listeners to perceive Mandarin tones. , 1999, The Journal of the Acoustical Society of America.

[22]  Patrick C M Wong,et al.  Learning a novel phonological contrast depends on interactions between individual differences and training paradigm design. , 2011, The Journal of the Acoustical Society of America.

[23]  Yukari Hirata,et al.  Training native English speakers to identify Japanese vowel length contrast with sentences at varied speaking rates. , 2007, The Journal of the Acoustical Society of America.

[24]  Peter Q. Pfordresher,et al.  Enhanced production and perception of musical pitch in tone language speakers , 2009, Attention, perception & psychophysics.

[25]  Reiko Akahane-Yamada,et al.  Perceptual assimilation of american English vowels by Japanese listeners , 1996, ICSLP.

[26]  O. Engstrand,et al.  Durational Correlates of Quantity in Swedish, Finnish and Estonian: Cross-Language Evidence for a Theory of Adaptive Dispersion , 1994 .

[27]  Mark S. Seidenberg,et al.  Language deficits in dyslexic children: speech perception, phonology, and morphology. , 2000, Journal of experimental child psychology.

[28]  I. Peretz Music, Language and Modularity Framed in Action , 2009 .

[29]  D. Pisoni,et al.  Recognition of spoken words by native and non-native listeners: talker-, listener-, and item-related factors. , 1999, The Journal of the Acoustical Society of America.

[30]  Nicole M. Russo,et al.  Musical experience shapes human brainstem encoding of linguistic pitch patterns , 2007, Nature Neuroscience.

[31]  Anne Cutler,et al.  Unfolding of phonetic information over time: a database of Dutch diphone perception. , 2003, The Journal of the Acoustical Society of America.

[32]  D. Pisoni,et al.  Training Japanese listeners to identify English /r/ and /l/: IV. Some effects of perceptual learning on speech production. , 1997, The Journal of the Acoustical Society of America.

[33]  James M McQueen,et al.  Evidence for precategorical extrinsic vowel normalization , 2013, Attention, perception & psychophysics.

[34]  A. Jongman,et al.  The Phonological Representation of [VOICE] in Speech Perception , 1992, Language and speech.

[35]  P. Boersma Praat : doing phonetics by computer (version 4.4.24) , 2006 .

[36]  H. Nusbaum,et al.  Consolidation during sleep of perceptual learning of spoken language , 2003, Nature.

[37]  Pienie Zwitserlood,et al.  Plasticity of the human auditory cortex induced by discrimination learning of non-native, mora-timed contrasts of the Japanese language. , 2002, Learning & memory.