Computer-assisted analysis of spontaneous speech: quantification of basic parameters in aphasic and unimpaired language

Hussmann K, Grande M, Meffert E, Christoph S, Piefke M, Willmes K, Huber W (2012)
Clinical Linguistics & Phonetics 26(8): 661-680.

Download
Es wurde kein Volltext hochgeladen. Nur Publikationsnachweis!
Zeitschriftenaufsatz | Veröffentlicht | Englisch
Autor
; ; ; ; ; ;
Abstract / Bemerkung
Although generally accepted as an important part of aphasia assessment, detailed analysis of spontaneous speech is rarely carried out in clinical practice mostly due to time limitations. The Aachener Sprachanalyse (ASPA; Aachen Speech Analysis) is a computer-assisted method for the quantitative analysis of German spontaneous speech that allows for a detailed assessment by means of linguistic basic parameters in an acceptable amount of time. It has previously been proven sensitive for monitoring changes over time. In this study, we present data of 52 aphasic participants whose spontaneous speech was analyzed retrospectively before and after an intensive therapy program. The measured changes are evaluated with reference to normative data of 60 non-brain-damaged speakers. Results confirm good sensitivity to document changes over time. Clinical relevance of changes is assessed with reference to critical score ranges derived from the normative data. Findings provide further evidence of the clinical applicability and usefulness of ASPA.
Erscheinungsjahr
Zeitschriftentitel
Clinical Linguistics & Phonetics
Band
26
Zeitschriftennummer
8
Seite
661-680
ISSN
eISSN
PUB-ID

Zitieren

Hussmann K, Grande M, Meffert E, et al. Computer-assisted analysis of spontaneous speech: quantification of basic parameters in aphasic and unimpaired language. Clinical Linguistics & Phonetics. 2012;26(8):661-680.
Hussmann, K., Grande, M., Meffert, E., Christoph, S., Piefke, M., Willmes, K., & Huber, W. (2012). Computer-assisted analysis of spontaneous speech: quantification of basic parameters in aphasic and unimpaired language. Clinical Linguistics & Phonetics, 26(8), 661-680. doi:10.3109/02699206.2012.683672
Hussmann, K., Grande, M., Meffert, E., Christoph, S., Piefke, M., Willmes, K., and Huber, W. (2012). Computer-assisted analysis of spontaneous speech: quantification of basic parameters in aphasic and unimpaired language. Clinical Linguistics & Phonetics 26, 661-680.
Hussmann, K., et al., 2012. Computer-assisted analysis of spontaneous speech: quantification of basic parameters in aphasic and unimpaired language. Clinical Linguistics & Phonetics, 26(8), p 661-680.
K. Hussmann, et al., “Computer-assisted analysis of spontaneous speech: quantification of basic parameters in aphasic and unimpaired language”, Clinical Linguistics & Phonetics, vol. 26, 2012, pp. 661-680.
Hussmann, K., Grande, M., Meffert, E., Christoph, S., Piefke, M., Willmes, K., Huber, W.: Computer-assisted analysis of spontaneous speech: quantification of basic parameters in aphasic and unimpaired language. Clinical Linguistics & Phonetics. 26, 661-680 (2012).
Hussmann, Katja, Grande, Marion, Meffert, Elisabeth, Christoph, Swetlana, Piefke, Martina, Willmes, Klaus, and Huber, Walter. “Computer-assisted analysis of spontaneous speech: quantification of basic parameters in aphasic and unimpaired language”. Clinical Linguistics & Phonetics 26.8 (2012): 661-680.

2 Zitationen in Europe PMC

Daten bereitgestellt von Europe PubMed Central.

The neural correlates of agrammatism: Evidence from aphasic and healthy speakers performing an overt picture description task.
Schönberger E, Heim S, Meffert E, Pieperhoff P, da Costa Avelar P, Huber W, Binkofski F, Grande M., Front Psychol 5(), 2014
PMID: 24711802

35 References

Daten bereitgestellt von Europe PubMed Central.


Meffert, 2009

AUTHOR UNKNOWN, 0

AUTHOR UNKNOWN, 0

AUTHOR UNKNOWN, 0

Sproedefeld, Bulletin Aphasie und verwandte Gebiete 23(), 2008

AUTHOR UNKNOWN, 0

AUTHOR UNKNOWN, 0

AUTHOR UNKNOWN, 0

Export

Markieren/ Markierung löschen
Markierte Publikationen

Open Data PUB

Web of Science

Dieser Datensatz im Web of Science®

Quellen

PMID: 22774927
PubMed | Europe PMC

Suchen in

Google Scholar