Advertisement

Eine Literaturauswahl an Modellen

Chapter
  • 2.9k Downloads

Zusammenfassung

In diesem Kapitel werden Modelle der Sprachproduktion, der Sprachwahrnehmung und des Sprachlernens vorgestellt. Dabei werden zunächst theoretische, auf globalen Hirnaktivitätsdaten und auf behavioristischen Daten basierende Modelle vorgestellt. Im Anschluss werden quantitative computerimplementierte Simulationsmodelle beschrieben.

Literatur

  1. Bekolay T (2016) Biologically inspired methods in speech recognition and synthesis: closing the loop. Ph.D. Thesis, University of Waterloo, CanadaGoogle Scholar
  2. Dell GS (1988) The retrieval of phonological forms in production: Tests of predictions from a onnectionist model. J Mem Lang 27:124–142CrossRefGoogle Scholar
  3. Dell GS, Schwartz MF, Martin N, Saffran EM, Gagnon DA (1997) Lexical access in aphasic and nonaphasic speakers. Psychol Rev 104:801–838CrossRefPubMedGoogle Scholar
  4. Guenther FH (2006) Cortical interactions underlying the production of speech sounds. J Commun Disord 39:350–365CrossRefPubMedGoogle Scholar
  5. Guenther FH, Vladusich T (2012) A neural theory of speech acquisition and production. J Neurolinguist 25:408–422CrossRefGoogle Scholar
  6. Hickok G, Poeppel D (2007) The cortical organization of speech processing. Nat Rev Neurosci 8:393–402CrossRefPubMedGoogle Scholar
  7. Hinton G, Deng L, Yu D, Dahl GE, Abdel-Rahman M, Jaitly N, Senior A, Vanhoucke V, Nguyen P, Sainath TN, Kingsbury B (2012) Deep neural networks for acoustic modeling in speech recognition: The shared views of four research groups. IEEE Signal Proc Mag 29:82–97CrossRefGoogle Scholar
  8. Levelt WJM (1989) Speaking: From intention to articulation. MIT Press, Cambridge, MAGoogle Scholar
  9. Levelt WJM, Roelofs A, Meyer AS (1999) A theory of lexical access in speech production. Behav Brain Sci 22:1–75PubMedGoogle Scholar
  10. Li P, Farkas I, MacWhinney B (2004) Early lexical development in a self-organizing neural network. Neural Netw 17:1345–1362CrossRefPubMedGoogle Scholar
  11. Li P, Zhao X, MacWhinney B (2007) Dynamic self-organization and early lexical development in children. Cognitive Sci 31:581–612CrossRefGoogle Scholar
  12. Li P, Zhao X (2013) Self-organizing map models of language acquisition. FrontPsychol 4:828Google Scholar
  13. Ling ZH, Kang SY, Zen H, Senior A, Schuster M, Qian XJ, Meng H, Deng L (2015) Deep learning for acoustic modeling in parametric speech generation. A systematic review of existing techniques and future trends. IEEE Signal Proc Mag 32:35–52CrossRefGoogle Scholar
  14. McClelland JL, Elman JL (1986) The TRACE model of speech perception. Cognitive Psychol 18:1–86CrossRefGoogle Scholar
  15. Postma A (2000) Detection of errors during speech production: A review of speech monitoring models. Cognition 77:97–131CrossRefPubMedGoogle Scholar
  16. Price CJ, Crinion JT, MacSweeney M (2011) A generative model of speech production in Broca’s and Wernicke’s areas. Front Psychol 2:237CrossRefPubMedPubMedCentralGoogle Scholar
  17. Riecker A, Mathiak K, Wildgruber D, Erb M, Hertrich I, Grodd W, Ackermann H (2005) fMRI reveals two distinct cerebral networks subserving speech motor control. Neurology 64:700–706CrossRefPubMedGoogle Scholar
  18. Roelofs A (1997) The WEAVER model of word-form encoding in speech production. Cognition 64:249–284CrossRefPubMedGoogle Scholar
  19. Warlaumont AS, Finnegan MK (2016) Learning to produce syllabic speech sounds via reward-modulated neural plasticity. PLoS ONE 11(1):e0145096. doi: https://doi.org/10.1371/journal.pone.0145096 CrossRefPubMedPubMedCentralGoogle Scholar

Copyright information

© Springer-Verlag GmbH Deutschland 2018

Authors and Affiliations

  1. 1.Klinik für Phoniatrie, Pädaudiologie und KommunikationsstörungenRWTH Aachen UniversityAachenDeutschland

Personalised recommendations