The Effect of Sore Throat on Changes of Vowel Sounds

HENDRA SETIAWAN, SUTONO SUTONO

Sari


ABSTRAK

Penelitian ini bertujuan untuk mengetahui pengaruh gangguan tenggorokan terhadap perubahan karakteristik suara yang diucapkan. Karakteristik suara pada penelitian dibatasi pada aspek pitch, formant, dan pola spektrum. Spektrum suara yang diamati dibatasi pada suara vokal /a/, /i/, /u/, /e/, dan /o/. Terdapat tujuh orang responden laki-laki yang berusia antara 35 sampai 50 tahun. Rekaman dilakukan saat kondisi sehat dan saat kondisi terjadi gangguan di tenggorokan. Dari hasil analisis diperoleh bahwa secara umum 71,4% perubahan pitch terjadi ke arah frekuensi yang lebih rendah, sedangkan 25,7% ke arah frekuensi yang lebih tinggi, dan sisanya tidak mengalami perubahan pitch. Berdasarkan analisis formant diketahui bahwa perubahan susunan formant paling nampak pada bunyi huruf /a/ sedangkan pola paling tidak berubah ditemukan pada bunyi huruf /i/. Selanjutnya dengan menggunakan cross-korelasi diperoleh bahwa perubahan terbesar pola spektrum frekuensi terjadi pada ucapan huruf /a/.

Kata kunci: formant, pitch, spektrum, suara, vokal

 

ABSTRACT

The aim of this research is to determine the effect of sore throat on changes of speech characteristics. The sound characteristics in this research are limited to pitch, formant, and spectrum pattern. The observed sounds is limited to the vowel sounds /a/, /i/, /u/, /e/, and /o/. There are seven male respondents of 35 to 50 years old. A sound characteristic change is obtained by comparing the pitch, formant and spectrum pattern in the healthy condition and the sore throat conditions. The change is grouped in two categories i.e. shifting into the lower frequency and shifting to the upper frequency. From the analysis obtained that, in general, 71.4% of pitches are shifted to lower frequencies, while 25.7% shifted to higher frequencies, and the rest does not change. From the formant analysis, the largest change of formant pattern occurs in the sound of vowel /a/ while the smallest change is in vowel /i/. Furthermore, using cross correlation, the change of the pattern is derived. The cross-correlation result shows that vowels /a/ is the most suffering pattern due to the sore throat.

Keywords: formant, pitch, spectrum, sound, vowel


Kata Kunci


formant; pitch; spectrum; sound; vowel.

Teks Lengkap:

PDF (English)

Referensi


Aadit, M. N. A., Kirtania, S. G., & Mahin, M. T. (2017). Pitch and formant estimation of bangla speech signal using autocorrelation, cepstrum and LPC algorithm. 19th International Conference on Computer and Information Technology, ICCIT 2016, (pp. 371–376).

Batra, K., Bhasin, S., & Singh, A. (2015). Acoustic Analysis of voice samples to differentiate Healthy and Asthmatic persons. International Journal Of Engineering Sciences & Research Technology, 4(7), 13161–13164.

de Cheveigné, A. (2005). Pitch Perception Models. Ney York: Springer

Gutierrez, W. M., Kim, S., Kim, D. H., Yeon, S. C., & Chang, H. H. (2010). Classification of porcine wasting diseases using sound analysis. Asian-Australasian Journal of Animal Sciences, 23(8), (pp. 1096–1104).

Li, C., Peng, X., Zhang, H., Wang, C., Fan, S., & Cao, S. (2017). Wearable side-polished fiber Bragg grating sensor for pulse wave and throat sound detection. Proceedings of IEEE Sensors, 2017-Decem, (pp. 1–3).

Maulidin, L. M. H. (2018). Analisis Spektral Suara Pernapasan Abnormal Pada Anak-Anak Penderita Pneumonia, Undergraduate Thesis, Universitas Islam Indonesia. Retrieved from https://dspace.uii.ac.id/handle/123456789/5315

Mohanta, A., & Mittal, V. K. (2016). Classifying emotional states using pitch and formants in vowel regions. 2016 International Conference on Signal Processing and Communication, ICSC 2016, (pp. 458–463).

Piet M.T. Broersen. (2006). Automatic Autocorrelation and Spectral Analysis. London: Springer-Verlag.

Prasetya, S. M. L., Rizal, A., & Ramatryana, I. N. A. (2015). Simulasi Deteksi Tonsilitis Mengunakan Pengolahan Citra Digital Berdasarkan Warna dan Luasan pada Tonsil. Jurnal Nasional Teknik Elektro Dan Teknologi Informasi (JNTETI), 4(1), 45–49.

Puspasari, I. (2015). Analisis Non Stasioner pada Deteksi Non Invasive Sinyal Suara Jantung Koroner. Jurnal Nasional Teknik Elektro Dan Teknologi Informasi (JNTETI), 4(2), 99–103.

Rabiner, L., & Schafer, R. (2010). Theory and applications of digital speech processing. Pearson.

Rahim, W., & Malik, U. (2015). Analisis Spektrum Suara Manusia Berdasarkan Jenis Kelamin (Gender) Dan Kelompok Umur Menggunakan Komputer. In JOM FMIPA 2(1). 14-23

Schnupp, J. (2014). Pitch Perception, Models. In Encyclopedia of Computational Neuroscience (pp. 1–5). Ney York: Springer.

Shrivastava, P., Tripathi, N., & Singh, B. K. (2018). Assessment of Respiratory Disorders Using Speech Parameters. International Journal on Future Revolution in Computer Science & Communication Engineering IJFRCSCE, 4(2), 461–464.

Suyudi, I., & Saptono, D. (2017). An Acoustic Analysis of Indonesian Formant Using Visartico. International Conference on Applied Linguistics (CONAPLIN 9), (pp. 166–169).

Wang, D., Yu, C., & Hansen, J. H. L. (2017). Robust Harmonic Features for Classification-Based Pitch Estimation. IEEE/ACM Transactions on Audio Speech and Language Processing, 25(5), 952–964.




DOI: https://doi.org/10.26760/elkomika.v9i1.87

Refbacks

  • Saat ini tidak ada refbacks.


_______________________________________________________________________________________________________________________

ISSN (cetak) : 2338-8323 | ISSN (elektronik) : 2459-9638

diterbitkan oleh :

Teknik Elektro Institut Teknologi Nasional Bandung

Alamat : Gedung 20 Jl. PHH. Mustofa 23 Bandung 40124

Kontak : Tel. 7272215 (ext. 206) Fax. 7202892

Surat Elektronik : jte.itenas@itenas.ac.id________________________________________________________________________________________________________________________

Statistik Pengunjung

Free counters!

Web

Analytics Made Easy - StatCounter

Lihat Statistik Jurnal

Jurnal ini terlisensi oleh Creative Commons Attribution-ShareAlike 4.0 International License.

Creative Commons License