COMPARISON FOR SPEECH CODING ALGORITHMS FOR TOTAL LARYNGECTOMIES

Authors

  • Rafet AKDENİZ Dept. of Electronics and Telecommunication Engineering Çorlu Engineering Faculty, Namık Kemal University 59860 Çorlu, Tekirdağ, Turkey
  • Mesut Oytun OKTAY MTC Makina ve Otomasyon, Veliköy Organize Sanayi Bölgesi, Mimar Sinan Mah. 47. Sok. No:6 59500 Karaağaç, Çerkezköy Tekirdağ, Turkey

DOI:

https://doi.org/10.20319/mijst.2017.32.433444

Keywords:

Total Laryngectomy, Speech Enhancement, Amplitude Spectral Subtraction, Power Spectral Subtraction

Abstract

Electrolarynx is used as a noninvasive supporting device for speech restoration in people who have undergone resection operation over their larynxes. This work aims to develop a signal processing method to neutralize the mechanical vibration noise of this device. We investigate the effect of this noise on the speech signal and analyze the performances of various algorithms in a single input system to minimize this noise.

References

Aksoy F., Veyseller B., Yıldırım Y.S., Demirhan H. & Özturan O. (2010). Total larenjektomi sonrası ses restorasyonunda provox konuşma protezi tecrübemiz. Acta Oncologica Turcica. (43), pp. 65–69. (in Turkish)

Berouti M., Schwartz M. & Makhoul J. (1979 April). Enhancement of speech corrupted by acoustic noise. IEEE Int. Conf. Acoust. Speech Signal Processing. Washington DC, USA. pp. 208–211.

Cole D., Sridharan S., Moody M. & Geva S. (1997 December). Application of noise reduction techniques for Alaryngeal speech enhancement. IEEE TENCON’97 Speech and Image Technologies for Computing and Telecommunications. Queensland University of Technology, Brisbane, Australia. New York, NY, USA. pp. 491-495.

Erişir F. & İnci E. (2001). Total larenjektomiden sonra vocal rehabilitasyon. Cerrahpaşa Tıp Dergisi. 32 (2), pp. 80–85. (in Turkish)

Genden E.M., Ferlito A, Silver C.E., Jacobson A.S., Werner J.A., Suárez C., Leemans C.R., Bradley P.J. & Rinaldo A. (2007). Evolution of the management of laryngeal cancer. Oral Oncology, 43 (5), pp. 431–439. https://doi.org/10.1016/j.oraloncology.2006.08.007

Liu H., Zhao Q., Wan M. & Wang S. (2006). Enhancement of electrolarynx speech based on auditory masking. IEEE Transactions on Biomedical Engineering. 53 (5), pp. 864–875.

Loizou P.C. (2007). Speech Enhancement, Theory and Practice. Taylor- Francis, London, GB.

Meltzner G.S. (2003). Perceptual and Acoustic Impacts of Aberrant Properties of Electrolaryngeal Speech. PhD Thesis, Massachusetts Institute of Technology, Boston, USA.

Niu H.J., Wan M.X., Wang S.P. & Liu H.J. (2003). Enhancement of electrolarynx speech using adaptive noise cancelling based on independent component analysis. Medical and Biological Engineering and Computing. (41), pp. 670–678. https://doi.org/10.1007/BF02349975

Oktay M.O. & Akdeniz R. (2014 April). Total Larenjektomi Hastaları için Konusma Kodlama Sistemi. In CD: SIU2014 IEEE 22. Sinyal İşleme ve İletişim Uygulamaları Kurultayı; Karadeniz Teknik Üniversitesi, Trabzon, Turkey. (in Turkish)

Tarakçıoğlu G.S. (2010). Voice conversion for reconstruction of dysphonic speech. MSc Thesis, Boğaziçi Üniversitesi, Istanbul, Turkey.

Türkmen H.I. (2008). Karma uyarım doğrusal Öngörüm kodlaması yöntemi ile disfonik konuşmadan normal konuşma elde edilmesi. MSc. Thesis, Yıldız Teknik Üniversitesi, Istanbul, Turkey. (in Turkish)

Virag N. (1999). Single channel speech enhancement based on masking properties of the human auditory system. IEEE Transactions on Speech and Audio Processing. 7 (2), pp. 126-137. https://doi.org/10.1109/89.748118

Downloads

Published

2017-11-07

How to Cite

AKDENİZ, R., & OKTAY, M. (2017). COMPARISON FOR SPEECH CODING ALGORITHMS FOR TOTAL LARYNGECTOMIES . MATTER: International Journal of Science and Technology, 3(2), 433–444. https://doi.org/10.20319/mijst.2017.32.433444