JOURNAL ARTICLE

Energy distribution in formant bands for arabic vowels

Mohamed FarchiKarim TahirySoufyane MounirBadia MounirAhmed Mouhsen

Year: 2019 Journal:   International Journal of Electrical and Computer Engineering (IJECE) Vol: 9 (2)Pages: 1163-1163   Publisher: Institute of Advanced Engineering and Science (IAES)

Abstract

<span>The acoustic cues play a major role in speech segmentation phase; the extraction of these indexes facilitates the characterization of the speech signal. In this work, we aim to study Arabic vowels (/a/, /a:/, /i/, /i:/, /u/ and /u:/), especially the long ones. We are interested in characterizing this type of vowels in terms of time, frequency and energy. The cues extracted and analyzed in this work are: segment length, voicing degree and formants values.</span>

Keywords:
Formant Voice Speech recognition Computer science Energy (signal processing) Arabic Segmentation Acoustics SIGNAL (programming language) Degree (music) Work (physics) Vowel Mathematics Artificial intelligence Linguistics Physics Statistics

Metrics

9
Cited By
1.31
FWCI (Field Weighted Citation Impact)
7
Refs
0.81
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Speech and Audio Processing
Physical Sciences →  Computer Science →  Signal Processing

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