Skip to main content

The LS Model (Lexicon-Syllabary Model)

  • Chapter
  • First Online:
  • 484 Accesses

Abstract

This section presents an approach for modeling speech processing and speech learning. Parts of this simulation model are implemented in the STAA approach, with other parts already in the NEF. The model described here comprises cognitive and sensory-motor components of speech production and perception. Additionally, we simulate the emergence of the mental lexicon and the mental syllabary using babbling and imitation training.

This is a preview of subscription content, log in via an institution.

Buying options

Chapter
USD   29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD   69.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD   89.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD   119.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Learn about institutional subscriptions

References

  • Birkholz P, Jackel D (2004) Influence of temporal discretization schemes on formant frequencies and bandwidths in time domain simulations of the vocal tract system. In: Proceedings of Interspeech. ICSLP, Jeju, pp 1125–1128

    Google Scholar 

  • Birkholz P, Kröger BJ (2006) Vocal tract model adaptation using magnetic resonance imaging. Proceedings of the 7th International Seminar on Speech Production (Belo Horizonte, Brazil) pp. 493–500

    Google Scholar 

  • Birkholz P, Jackel D, Kröger BJ (2006) Construction and control of a three-dimensional vocal tract model. Proceedings of the International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2006) (Toulouse, France) pp. 873–876

    Google Scholar 

  • Birkholz P, Jackel D, Kröger BJ (2007) Simulation of losses due to turbulence in the time-varying vocal system. IEEE Trans Audio Speech Lang Process 15:1218–1225

    Article  Google Scholar 

  • Cao M, Li A, Fang Q, Kaufmann E, Kröger BJ (2014) Interconnected growing self-organizing maps for auditory and semantic acquisition modeling. Front Psychol 5:236

    PubMed  PubMed Central  Google Scholar 

  • Eliasmith C (2013) How to build a brain. Oxford University Press, Oxford

    Book  Google Scholar 

  • Eliasmith C, Stewart TC, Choo X, Bekolay T, DeWolf T, Tan Y (2012) A large-scale model of the functioning brain. Science 338:1202–1205

    Article  CAS  Google Scholar 

  • Kröger BJ (1997) Zur artikulatorischen Realisierung von Phonationstypen mittels eines selbstschwingenden Glottismodells. Sprache-Stimme-Gehör 21:102–105

    Google Scholar 

  • Kröger BJ, Birkholz P (2007) A gesture-based concept for speech movement control in articulatory speech synthesis. In: Esposito A, Faundez-Zanuy M, Keller E, Marinaro M (eds) Verbal and nonverbal communication behaviours, LNAI 4775. Springer Verlag, Berlin, Heidelberg, pp 174–189

    Chapter  Google Scholar 

  • Kröger BJ, Birkholz P, Neuschaefer-Rube C (2011) Towards an articulation-based developmental robotics approach for word processing in face-to-face communication. PALADYN J Behav Robot 2:82–93

    Google Scholar 

  • Kröger BJ, Cao M (2015) The emergence of phonetic-phonological features in a biologically inspired model of speech processing. J Phon 53:88–100

    Article  Google Scholar 

  • Kröger BJ, Kannampuzha J (2008) A neurofunctional model of speech production including aspects of auditory and audio-visual speech perception. Proceedings of the International Conference on Audio-Visual Speech Processing 2008, Moreton Island, Queensland, Australia. pp. 83–88

    Google Scholar 

  • Kröger BJ, Kannampuzha J, Neuschaefer-Rube C (2009) Towards a neurocomputational model of speech production and perception. Speech Comm 51:793–809

    Article  Google Scholar 

  • Kröger BJ, Bekolay T, Eliasmith C (2014a) Modeling speech production using the Neural Engineering Framework. Proceedings of CogInfoCom 2014 (Vetri sul Mare, Italy) pp. 203–208 (ISBN: 978-1-4799-7279-1) and IEEE Xplore Digital Library. https://doi.org/10.1109/CogInfoCom.2014.7020446

  • Kröger BJ, Kannampuzha J, Kaufmann E (2014b) Associative learning and self-organization as basic principles for simulating speech acquisition, speech production, and speech perception. EPJ Nonlinear Biomedical Physics 2:2

    Article  Google Scholar 

  • Kröger BJ, Bekolay T, Blouw P (2016a) Modeling motor planning in speech processing using the Neural Engineering Framework. In: Jokisch O (ed) Studientexte zur Sprachkommunikation: Elektronische Sprachsignalverarbeitung 2016. TUDpress, Dresden, pp 15–22

    Google Scholar 

  • Kröger BJ, Crawford E, Bekolay T, Eliasmith C (2016b) Modeling interactions between speech production and perception: speech error detection at semantic and phonological levels and the inner speech loop. Front Comput Neurosci 10:51

    Article  Google Scholar 

  • Markram H (2006) The blue brain project. Nat Rev Neurosci 7:153–160

    Article  CAS  Google Scholar 

  • Senft V, Stewart TC, Bekolay T, Eliasmith C, Kröger BJ (2016) Reduction of dopamine in basal ganglia and its effects on syllable sequencing in speech: a computer simulation study. Basal Ganglia 6:7–17

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Rights and permissions

Reprints and permissions

Copyright information

© 2019 Springer Nature Switzerland AG

About this chapter

Check for updates. Verify currency and authenticity via CrossMark

Cite this chapter

Kröger, B.J., Bekolay, T. (2019). The LS Model (Lexicon-Syllabary Model). In: Neural Modeling of Speech Processing and Speech Learning. Springer, Cham. https://doi.org/10.1007/978-3-030-15853-8_9

Download citation

Publish with us

Policies and ethics