304
Views
7
CrossRef citations to date
0
Altmetric
Research Article

Long term average speech spectra of Turkish

&
Pages 101-105 | Received 22 Jan 2017, Accepted 05 Sep 2017, Published online: 18 Sep 2017
 

Abstract

Long-term average speech spectra (LTASS) are a voice analysis method that is recommended to be used in various areas, such as hearing aid fittings, automatic speaker recognition and voice disorders. Evaluations of LTASS in different languages have been published; however, this analysis has not been conducted for the Turkish. Therefore, the first aim of this study was to conduct this analysis, generate normative values and compare the obtained LTASS curve for the Turkish with those obtained for other languages reported in the literature. To achieve this objective, 40 adults with healthy hearing and speech characteristics were evaluated. Long-term spectral shape is presented in a graphical form, with visual comparisons to other research findings. Spectral differences by gender were analyzed, with statistically significant differences observed between gender groups and overall LTASS. The LTASS curve for the Turkish is similar to those reported for other languages, but there are also observable differences. Use of generated speech signals in hearing aid fitting procedures is recommended.

Disclosure statement

The authors report no declaration of interest.

Log in via your institution

Log in to Taylor & Francis Online

PDF download + Online access

  • 48 hours access to article PDF & online version
  • Article PDF can be downloaded
  • Article PDF can be printed
USD 65.00 Add to cart

Issue Purchase

  • 30 days online access to complete issue
  • Article PDFs can be downloaded
  • Article PDFs can be printed
USD 236.00 Add to cart

* Local tax will be added as applicable

Related Research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.