Abstract
Laryngectomy is the treatment to totally remove the larynx in order to clear out laryngeal cancer. The trachea is led outside to the neck and thus is separated from the esophagus. The patient no longer breathes through its mouth but through a hole in his neck. This drastic change in the human body causes a loss of the ability of speech for the patient. Patient will learn to speech using esophageal speech or using an electro-larynx. This paper describes the preliminary speech spectrum analysis resulted from the normal voice and Indonesian laryngectomised patient with and without electro larynx. The voice will be recorded and analyzed using a spectrum analysis application to know the fundamental frequency. The result shows that the fundamental frequency of 'a' and 'b' sound from laryngectomised patient without electrolarynx are 363. Hz and 727 Hz, respectively. By using an electrolarynx those frequency are 888 Hz and 1000 Hz, respectively. It is hope that these result can be used to develop a new electronic voice producing element with an appropriate voice based on each human voice characteristics.
Original language | English |
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Title of host publication | International Conference on Instrumentation, Communication, Information Technology, and Biomedical Engineering 2009, ICICI-BME 2009 |
Place of Publication | Piscataway, NJ |
Publisher | IEEE |
Number of pages | 5 |
ISBN (Electronic) | 978-1-4244-5000-8 (CD) |
ISBN (Print) | 978-1-4244-4999-6 |
DOIs | |
Publication status | Published - 1 Dec 2009 |
Event | International Conference on Instrumentation, Communication, Information Technology, and Biomedical Engineering 2009, ICICI-BME 2009 - Bandung, Indonesia Duration: 23 Nov 2009 → 25 Nov 2009 |
Conference
Conference | International Conference on Instrumentation, Communication, Information Technology, and Biomedical Engineering 2009, ICICI-BME 2009 |
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Abbreviated title | ICICI-BME 2020 |
Country/Territory | Indonesia |
City | Bandung |
Period | 23/11/09 → 25/11/09 |
Keywords
- Electrolarynx
- Fundamental frequency
- Speech analysis