Skip to main content

Part of the book series: SpringerBriefs in Electrical and Computer Engineering ((BRIEFSSPEECHTECH))

  • 982 Accesses

Abstract

Some of the most common forms of speech impairment are summarised here, in terms of their main distinctive acoustic and temporal characteristics (rhythm, intonation, etc.). Where they offer significant advantages, we also mention some non-acoustic methods for assessment and diagnosis. The speech disorders considered in this book are neurological in origin: primarily dysphonia, dysprosody, dysarthria and apraxia of speech, but we also mention some considerations relevant to the diagnosis of stuttering, Parkinson’s disease and even schizophrenia. It is suggested that the tasks of assessing severity of a condition, and of differential diagnosis, need not use the same acoustic features, and indeed there may be significant advantages in using complementary features and procedures for the two tasks.

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

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 39.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 54.99
Price excludes VAT (USA)
  • Compact, lightweight 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

Institutional subscriptions

References

  • Bhogal SK, Teasell R, Speechley M (2003) Intensity of aphasia therapy, impact on recovery. Stroke 34:987–993. doi:10.1161/01.str.0000062343.64383.d0

    Article  Google Scholar 

  • Cera ML, Ortiz KZ (2010) Phonological analysis of substitution errors of patients with apraxia of speech. Dementia Neuropsychol 4(1):58–62

    Google Scholar 

  • Chomsky N, Halle M (1968) The sound pattern of english. Harper & Row, New York

    Google Scholar 

  • Cummings L (2008) Clinical linguistics. Edinburgh University Press Ltd, Edinburgh. ISBN 978 0 7486 2077 7

    Google Scholar 

  • Davis S, Howell P, Rustin L (2000) A multivariate approach to diagnosis and prediction of therapy outcome with children who stutter; the social status of the child who stutters. In: Baker KL, Rustin L, Cook F (eds) Proceedings of fifth oxford dysfluency conference, pp 32–41

    Google Scholar 

  • Fletcher SG (1972) Time-by-count measurement of diadochokinetic syllable rate. J Speech Hearing Res 15:763–770

    Google Scholar 

  • Masaki A (2010) Optimizing acoustic and perceptual assessment of voice quality in children with vocal nodules. PhD thesis, Harvard-MIT Health Sciences and Technology

    Google Scholar 

  • Middag C, Martens J-P, van Nuffelen G, de Bodt M (2009) Automated intelligibility assessment of pathological speech using phonological features. EURASIP J Adv Signal Process. doi:10.1155/2009/629030

    MATH  Google Scholar 

  • Ogar J, Slama H, Dronkers N, Amici S, Gorno-Tempini ML (2005) Apraxia of speech: an overview. Neurocase 11(6):427–432

    Article  Google Scholar 

  • Portnoy RA, Aronson AE (1982) Diadochokinetic syllable rate and regularity in normal and in spastic and ataxic dysarthric subjects. J Speech Hearing Disorders 47:324–328

    Google Scholar 

  • Reetz H (1989) A fast expert program for pitch extraction. Proc Eurospeech 1:476–479

    Google Scholar 

  • van Santen JPH, Prud’hommeaux ET, Black LM (2009) Automated assessment of prosody production. Speech Commun 51(11):1082–1097. doi:10.1016/j.specom.2009.04.007

    Article  Google Scholar 

  • Shriberg LD, Hosom J-P, Green JR (2004) Diagnostic assessment of childhood apraxia of speech using automatic speech recognition (ASR) systems. J Med Speech Lang Pathol 12(4):167–171

    Google Scholar 

  • Thoonen GHJ (1998) Developmental apraxia of speech in children—quantitative assessment of speech characteristics. Thesis, University of Nijmegen. ISBN 90-9011330-4

    Google Scholar 

  • Yorkston KM, Beukelman DR, Strand EA, Bell KR (1999) Management of motor speech disorders in children and adults, 2nd edn. PRO-ED, Austin

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Ladan Baghai-Ravary .

Rights and permissions

Reprints and permissions

Copyright information

© 2013 The Author(s)

About this chapter

Cite this chapter

Baghai-Ravary, L., Beet, S.W. (2013). Acoustic Effects of Speech Impairment. In: Automatic Speech Signal Analysis for Clinical Diagnosis and Assessment of Speech Disorders. SpringerBriefs in Electrical and Computer Engineering(). Springer, New York, NY. https://doi.org/10.1007/978-1-4614-4574-6_3

Download citation

  • DOI: https://doi.org/10.1007/978-1-4614-4574-6_3

  • Published:

  • Publisher Name: Springer, New York, NY

  • Print ISBN: 978-1-4614-4573-9

  • Online ISBN: 978-1-4614-4574-6

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics