Transfer of Learning: What Does It Tell Us About Speech Production Units?

Purpose Words, syllables, and phonemes have each been regarded as basic encoding units of speech production in various psycholinguistic models. The present article investigates the role of each unit in the interface with speech articulation, using a paradigm from motor control research. Method Seventy-six native speakers of French were trained to change their production of /be/ in response to an auditory feedback perturbation (auditory-motor learning). We then assessed the magnitude of learning transfer from /be/ to the syllables in 2 pseudowords (/bepe/ and /pebe/) and 1 real word (/bebe/) as well as the aftereffect on the same utterance (/be/) with a between-subjects design. This made it possible to contrast the amplitude of transfer at the levels of the utterance, the syllable, and the phoneme, depending on the position in the word. Linear mixed models allowed us to study the amplitude as well as the dynamics of the transfer and the aftereffect over trials. Results Transfer from the training utterance /be/ was observed for all vowels of the test utterances but was larger to the syllable /be/ than to the syllable /pe/ at word-initial position and larger to the 1st syllable than to the 2nd syllable in the utterance. Conclusions Our study suggests that words, syllables, and phonemes may all contribute to the definition of speech motor commands. In addition, the observation of a serial order effect raises new questions related to the connection between psycholinguistic models and speech motor control approaches.

[1]  Gunnar Fant,et al.  Acoustic Theory Of Speech Production , 1960 .

[2]  Mi-Ok Kim,et al.  Statistical issues in longitudinal data analysis for treatment efficacy studies in the biomedical sciences. , 2010, Molecular therapy : the journal of the American Society of Gene Therapy.

[3]  Jason A. Tourville,et al.  Neural mechanisms underlying auditory feedback control of speech , 2008, NeuroImage.

[4]  G. Dell,et al.  Syllable Structure in Speech Production: Are Syllables Chunks or Schemas? , 1995 .

[5]  Austin F. Frank,et al.  Integrating Linguistic, Motor, and Perceptual Information in Language Production. , 2011 .

[6]  D. Ostry,et al.  Nonhomogeneous transfer reveals specificity in speech motor learning. , 2012, Journal of neurophysiology.

[7]  K. Reilly,et al.  Vowel generalization and its relation to adaptation during perturbations of auditory feedback. , 2017, Journal of neurophysiology.

[8]  Michael I. Jordan,et al.  Sensorimotor adaptation in speech production. , 1998, Science.

[9]  D. Ostry,et al.  Simultaneous Acquisition of Multiple Auditory–Motor Transformations in Speech , 2011, The Journal of Neuroscience.

[10]  P. MacNeilage,et al.  On the origin of internal structure of word forms. , 2000, Science.

[11]  Roger Mundry,et al.  Stepwise Model Fitting and Statistical Inference: Turning Noise into Signal Pollution , 2008, The American Naturalist.

[12]  Jeffery A. Jones,et al.  Control of vocalization at utterance onset and mid-utterance: Different mechanisms for different goals , 2009, Brain Research.

[13]  Michael I. Jordan,et al.  Sensorimotor adaptation of speech I: Compensation and adaptation. , 2002, Journal of speech, language, and hearing research : JSLHR.

[14]  A. J. Yates Delayed Auditory Feedback , 1958, Psychological bulletin.

[15]  D. Recasens,et al.  A model of lingual coarticulation based on articulatory constraints , 1997 .

[16]  Alison Holm,et al.  Intervention for children with severe speech disorder: a comparison of two approaches. , 2005, International journal of language & communication disorders.

[17]  The nlme Package , .

[18]  Ludo Max,et al.  Feedback delays eliminate auditory-motor learning in speech production , 2015, Neuroscience Letters.

[19]  Anne Cutler,et al.  Prediction, Bayesian inference and feedback in speech recognition , 2015, Language, cognition and neuroscience.

[20]  Samuel J Sober,et al.  Vocal Generalization Depends on Gesture Identity and Sequence , 2014, The Journal of Neuroscience.

[21]  Marc Brysbaert,et al.  Lexique 2 : A new French lexical database , 2004, Behavior research methods, instruments, & computers : a journal of the Psychonomic Society, Inc.

[22]  S. Shattuck-Hufnagel The role of word structure in segmental serial ordering , 1992, Cognition.

[23]  P. Boersma ACCURATE SHORT-TERM ANALYSIS OF THE FUNDAMENTAL FREQUENCY AND THE HARMONICS-TO-NOISE RATIO OF A SAMPLED SOUND , 1993 .

[24]  Hugo Quené,et al.  Word onsets and speech errors : Explaining relative frequencies of segmental substitutions , 2015 .

[25]  J. Grainger,et al.  Masked Priming of Word and Picture Naming: The Role of Syllabic Units ☆ , 1996 .

[26]  A. Meyer The time course of phonological encoding in language production: The encoding of successive syllables of a word ☆ , 1990 .

[27]  T. Hothorn,et al.  Simultaneous Inference in General Parametric Models , 2008, Biometrical journal. Biometrische Zeitschrift.

[28]  W. Levelt Models of word production , 1999, Trends in Cognitive Sciences.

[29]  Juan Segui,et al.  Subliminal repetition primes help detection of phonemes in a picture: Evidence for a phonological level of the priming effects , 2016, Quarterly journal of experimental psychology.

[30]  Ardi Roelofs,et al.  Phonological Segments and Features as Planning Units in Speech Production , 1999 .

[31]  Daniel R. Lametti,et al.  Sensory Preference in Speech Production Revealed by Simultaneous Alteration of Auditory and Somatosensory Feedback , 2012, The Journal of Neuroscience.

[32]  R. Schmidt,et al.  Principles of motor learning in treatment of motor speech disorders. , 2008, American journal of speech-language pathology.

[33]  W. Levelt,et al.  Do speakers have access to a mental syllabary? , 1994, Cognition.

[34]  W. Levelt,et al.  Speaking: From Intention to Articulation , 1990 .

[35]  Alejandrina Cristia,et al.  Global and detailed speech representations in early language acquisition , 2012 .

[36]  Sam Tilsen,et al.  Selection and coordination: The articulatory basis for the emergence of phonological structure , 2016, J. Phonetics.

[37]  Riitta Välimaa-Blum,et al.  The phoneme in cognitive phonology: episodic memories of both meaningful and meaningless units? , 2009 .

[38]  C. Fougeron,et al.  Realizations of accentual phrase in French intonation , 2002 .

[39]  Juan Segui,et al.  The syllable’s role in speech production: Are syllables chunks, schemas, or both? , 1998 .

[40]  Satrajit S. Ghosh,et al.  A System for Online Dynamic Perturbation of Formant Trajectories and Results from Perturbations of the Mandarin Triphthong /iau/ , 2008 .

[41]  W. Ganong Phonetic categorization in auditory word perception. , 1980, Journal of experimental psychology. Human perception and performance.

[42]  Wolfram Ziegler,et al.  Segments and syllables in the treatment of apraxia of speech: An investigation of learning and transfer effects , 2013 .

[43]  K. Munhall,et al.  Compensation following real-time manipulation of formants in isolated vowels. , 2006, The Journal of the Acoustical Society of America.

[44]  J. Perkell,et al.  Sensorimotor adaptation to feedback perturbations of vowel acoustics and its relation to perception. , 2007, The Journal of the Acoustical Society of America.

[45]  H. Traunmüller Perceptual dimension of openness in vowels. , 1981, The Journal of the Acoustical Society of America.

[46]  Stefanie Shattuck-Hufnagel,et al.  The Limited Use of Distinctive Features and Markedness in Speech Production: Evidence from Speech Error Data. , 1979 .

[47]  G S Dell,et al.  A spreading-activation theory of retrieval in sentence production. , 1986, Psychological review.

[48]  R Core Team,et al.  R: A language and environment for statistical computing. , 2014 .

[49]  Willem J. M. Levelt,et al.  Effects of syllable frequency in speech production , 2006, Cognition.

[50]  Shari R. Baum,et al.  Lexical-perceptual integration influences sensorimotor adaptation in speech , 2014, Front. Hum. Neurosci..

[51]  Satrajit S. Ghosh,et al.  Adaptive auditory feedback control of the production of formant trajectories in the Mandarin triphthong /iau/ and its pattern of generalization. , 2010, The Journal of the Acoustical Society of America.

[52]  Joan L. Bybee,et al.  Word frequency and context of use in the lexical diffusion of phonetically conditioned sound change , 2002, Language Variation and Change.

[53]  D. Norris,et al.  Shortlist B: a Bayesian model of continuous speech recognition. , 2008, Psychological review.

[54]  W. Bruce Croft,et al.  Phonological development: toward a “radical” templatic phonology , 2007 .