Hussein Seid,
Mitiku Tamirat
2019-02-28
<p>Abstract—this paper analyzes acoustic characteristics of nasal sounds of Kambaata language at their place of<br>
articulation by using autoregressive moving average(ARMA) model. The ARMA model is an extension of<br>
Linear Predictive Coding (LPC) model, which incorporatethe zeros of the transfer function of vocal tract coupled<br>
with nasal cavity. Since nasal sound production involves the coupling of nasal cavity, so it can be modeled by ARMA<br>
process. Sounds of minimal or nearly minimal pair words, containing singleton or geminated nasal phoneme at the<br>
initial, medial or final positions were recorded while read by five male and five female native speakers is collected.<br>
Formant and ant-formant frequencies of the collected speech has been extracted and analyzed by using one-way<br>
ANOVA test to analyze the differences of nasal sounds. The overall duration measurement is also used to<br>
characterize the acoustic nature of nasals. It was observed that Kambaata geminated nasals are found to have<br>
statistically longer in overall duration than their singleton conjugates for both females and males in all word positions<br>
(initial, medial and final). Anti-formant frequencies are found to have statistically significant difference for both<br>
female and males at all positions of the target phoneme. In future, it can be extended for noisy and live environments.</p>
https://doi.org/10.5281/zenodo.2579836
oai:zenodo.org:2579836
eng
Zenodo
https://doi.org/10.5281/zenodo.2579835
info:eu-repo/semantics/openAccess
Creative Commons Attribution 4.0 International
https://creativecommons.org/licenses/by/4.0/legalcode
Journal of Management Engineering and Information Technology (JMEIT), 6(1), 1-6, (2019-02-28)
Kambaata, nasals, geminated, singleton, acoustic characteristics
ACOUSTICALLY CHARACTERIZING NASAL SOUNDS OF KAMBAATA LANGUAGE
info:eu-repo/semantics/article