@inproceedings{22e3272f702a4cf9bdb9aa19b9ea824a,
title = "Speech recognition system and formant based analysis of spoken Arabic vowels",
abstract = "Arabic is one of the world's oldest languages and is currently the second most spoken language in terms of number of speakers. However, it has not received much attention from the traditional speech processing research community. This study is specifically concerned with the analysis of vowels in modern standard Arabic dialect. The first and second formant values in these vowels are investigated and the differences and similarities between the vowels are explored using consonant-vowels-consonant (CVC) utterances. For this purpose, an HMM based recognizer was built to classify the vowels and the performance of the recognizer analyzed to help understand the similarities and dissimilarities between the phonetic features of vowels. The vowels are also analyzed in both time and frequency domains, and the consistent findings of the analysis are expected to facilitate future Arabic speech processing tasks such as vowel and speech recognition and classification.",
keywords = "ASR, Analysis, Arabic, Formants, HMM, MSA, Recognition, Speech, Vowels",
author = "Alotaibi, \{Yousef Ajami\} and Amir Hussain",
year = "2009",
doi = "10.1007/978-3-642-10509-8\_7",
language = "English",
isbn = "3642105084",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
pages = "50--60",
booktitle = "Future Generation Information Technology - First International Conference, FGIT 2009, Proceedings",
note = "1st International International Mega-Conference on Future Generation Information Technology, FGIT 2009 ; Conference date: 10-12-2009 Through 12-12-2009",
}