Phonetic Transcription of Disordered Speech

2001 ◽  
Vol 21 (4) ◽  
pp. 52-72 ◽  
Author(s):  
Thomas W. Powell
1997 ◽  
Vol 27 (1-2) ◽  
pp. 65-75 ◽  
Author(s):  
Helen Pandeli ◽  
Joseph F. Eska ◽  
Martin J. Ball ◽  
Joan Rahilly

Acoustic and electropalatographic data on the so-called Hiberno-English ‘slit-t’ are reported, and the implications these data have for an adequate transcription are discussed. Previous transcription suggestions highlight the difficulty posed by the lack of an IPA diacritic for tongue shape. We conclude that the adoption of an alveolar diacritic (as used in the extensions to the IPA for transcribing disordered speech) could get round these difficulties.


2021 ◽  
pp. 193-208
Author(s):  
Martin J. Ball ◽  
Nicole Müller ◽  
Marie Klopfenstein ◽  
Ben Rutter

2011 ◽  
Vol 21 (2) ◽  
pp. 44-54
Author(s):  
Kerry Callahan Mandulak

Spectral moment analysis (SMA) is an acoustic analysis tool that shows promise for enhancing our understanding of normal and disordered speech production. It can augment auditory-perceptual analysis used to investigate differences across speakers and groups and can provide unique information regarding specific aspects of the speech signal. The purpose of this paper is to illustrate the utility of SMA as a clinical measure for both clinical speech production assessment and research applications documenting speech outcome measurements. Although acoustic analysis has become more readily available and accessible, clinicians need training with, and exposure to, acoustic analysis methods in order to integrate them into traditional methods used to assess speech production.


2010 ◽  
Vol 20 (2) ◽  
pp. 29-36
Author(s):  
Erin M. Wilson ◽  
Ignatius S. B. Nip

Abstract Although certain speech development milestones are readily observable, the developmental course of speech motor control is largely unknown. However, recent advances in facial motion tracking systems have been used to investigate articulator movements in children and the findings from these studies are being used to further our understanding of the physiologic basis of typical and disordered speech development. Physiologic work has revealed that the emergence of speech is highly dependent on the lack of flexibility in the early oromotor system. It also has been determined that the progression of speech motor development is non-linear, a finding that has motivated researchers to investigate how variables such as oromotor control, cognition, and linguistic factors affect speech development in the form of catalysts and constraints. Physiologic data are also being used to determine if non-speech oromotor behaviors play a role in the development of speech. This improved understanding of the physiology underlying speech, as well as the factors influencing its progression, helps inform our understanding of speech motor control in children with disordered speech and provide a framework for theory-driven therapeutic approaches to treatment.


Phonetica ◽  
1963 ◽  
Vol 10 (1-2) ◽  
pp. 42-50
Author(s):  
L.S. Harms

2015 ◽  
Vol 112 (41) ◽  
pp. 12752-12757 ◽  
Author(s):  
Gerhard Jäger

Computational phylogenetics is in the process of revolutionizing historical linguistics. Recent applications have shed new light on controversial issues, such as the location and time depth of language families and the dynamics of their spread. So far, these approaches have been limited to single-language families because they rely on a large body of expert cognacy judgments or grammatical classifications, which is currently unavailable for most language families. The present study pursues a different approach. Starting from raw phonetic transcription of core vocabulary items from very diverse languages, it applies weighted string alignment to track both phonetic and lexical change. Applied to a collection of ∼1,000 Eurasian languages and dialects, this method, combined with phylogenetic inference, leads to a classification in excellent agreement with established findings of historical linguistics. Furthermore, it provides strong statistical support for several putative macrofamilies contested in current historical linguistics. In particular, there is a solid signal for the Nostratic/Eurasiatic macrofamily.


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