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The aim of this study was to create a single-language counterpart of the International Speech Test Signal (ISTS) and to compare both with respect to their acoustical characteristics. The development procedure of the Polish Speech Test Signal (PSTS) was analogous to the one of ISTS. The main difference was that instead of multi-lingual recordings, speech recordings of five Polish speakers were used. The recordings were cut into 100-600 ms long segments and composed into one-minute long signal, obeying a set of composition rules, imposed mainly to preserve a natural, speech-like features of the signal. Analyses revealed some differences between ISTS and PSTS. The latter has about twice as high volume of voiceless fragments of speech. PSTS’s sound pressure levels in 1/3-octave bands resemble the shape of the Polish long-term average female speech spectrum, having distinctive maxima at 3-4 and 8-10 kHz which ISTS lacks. As PSTS is representative of Polish language and contains inputs from multiple speakers, it can potentially find an application as a standardized signal used during the procedure of fitting hearing aids for patients that use Polish as their main language.
Wydawca
Czasopismo
Rocznik
Tom
Strony
253--262
Opis fizyczny
Bibliogr. 21 poz., rys., tab., wykr.
Twórcy
autor
- Institute of Acoustics, Faculty of Physics, Adam Mickiewicz University in Poznań, Umultowska 85, 61-614 Poland
autor
- Institute of Acoustics, Faculty of Physics, Adam Mickiewicz University in Poznań, Umultowska 85, 61-614 Poland
autor
- Institute of Acoustics, Faculty of Physics, Adam Mickiewicz University in Poznań, Umultowska 85, 61-614 Poland
Bibliografia
- 1. Boersma P., Weenink D. (2015), Praat: doing phonetics by computer (Computer program), version 5.4.09, retrieved May 11, 2015, from http://www.praat.org.
- 2. Byrne D. et al. (1994), An international comparison of long-term average speech spectra, Journal of Acoustical Society of America, 96, 4, 2108-2120.
- 3. Chasin M. (2008), How hearing aids may be set for different languages, Hearing Review, 15, 16-20.
- 4. Chasin M. (2011), Setting hearing aids differently for different languages, Seminars in Hearing, 32, 182-188.
- 5. Chasin M., Hockley N. S. (2013), An automated system to improve hearing aid settings for non-English speakers, Hearing Review, 20, 4, 28-32.
- 6. Cox R. M., Matesich J. S., Moore J. N. (1988), Distribution of short-term rms levels in conversational speech, Journal of Acoustical Society of America, 84, 3, 1100-1104.
- 7. de Boysson-Bardies B., Sagart L., Halle P., Durand C. (1986), Acoustic investigation of cross linguistic variability in babbling, Precursors of Early Speech, 16, 1, 113-126.
- 8. Dworsack-Dodge M., Switalski W. (2012), Current practices in modern probe microphone measurement, URL: http://www.otometrics.com.
- 9. Habasińska D. (2015), The development of the Polish speech test signal for measuring and fitting hearing aids [in Polish: Stworzenie polskiego testowego sygnału mowopodobnego do wykorzystania w miernictwie i dopasowaniu aparatów słuchowych, Master Thesis, Adam Mickiewcz University Poznań.
- 10. Habasińska D., Skrodzka E. (2017), Development and analysis of the Polish Speech Test Signal in view of the IEC 60118-15 Standard, DAGA 2017, 127-128.
- 11. Holube I., Fredelake S., Vlaming M., Kollmeier B. (2010), Development and analysis of an International Speech Test Signal (ISTS), International Journal of Audiology, 49, 12, 891-903.
- 12. International Electrotechnical Commission (2012), IEC 60118-15, Electroacoustics – Hearing aids – Part 15: Methods for characterizing signal processing in hearing aids with a speech-like signal.
- 13. Jassem W. (2003), Polish, Journal of the International Phonetic Association, 33, 1, 103-107.
- 14. Klessa K., (2015), Annotation Pro [software], Katarzyna Klessa.
- 15. Klessa K., Karpiński M., Wagner A. (2013), Annotation Pro-a new software tool for annotation of linguistic and paralinguistic features, Proceedings of the Tools and Resources for the Analysis of Speech Prosody (TRASP)Workshop, Aix en Provence, pp. 51-54.
- 16. Kossek P., Dworsack-Dodge M. (2010), Dynamic REM with Percentile analysis, www.otometrics.com.
- 17. Noh H., Lee D. H. (2012), Cross-language identification of long-term average speech spectra in Korean and English: toward a better understanding of the quantitative difference between two languages, Ear Hear, 33, 3, 441-443.
- 18. Ozimek E., Kutzner D., Sęk A., Wicher A., Szczepaniak O. (2006), The Polish sentence test for speech intelligibility evaluations, Archives of Acoustics, 31, 4S, 431-438.
- 19. Podesva R. J., Sharma D. [Eds.] (2013), Research Methods in Linguistics, Cambridge University Press, Cambridge, pp. 375-396.
- 20. Wilson R. H., Margolis R. H. (1983), Measurement of auditory thresholds for speech stimuli, [in:] Konkle D. F., Rintelmann W. F. [Eds.], Principles of speech audiometry, Academic Press, Baltimore, pp. 79-126.
- 21. Ziółko B., Gałka J., Ziółko M. (2009), Polish phoneme statistics obtained on large set of written texts, Computer Science, 10, 97-106.
Uwagi
Opracowanie rekordu w ramach umowy 509/P-DUN/2018 ze środków MNiSW przeznaczonych na działalność upowszechniającą naukę (2018).
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-c3093d28-21a3-4055-a5bb-a4be9c414e78