@conference {Boumehdi2020145,
	title = {Construction of a database for speech recognition of isolated Arabic words},
	booktitle = {ACM International Conference Proceeding Series},
	year = {2020},
	note = {cited By 0},
	pages = {145-150},
	abstract = {Automatic speech recognition for the Arabic language is a field that is in a current remarkable development and still attracts many researchers who try to improve year after year the recognition rate. Many works nowadays have been focused on automatic speech recognition (ASR) for the Arabic language. The paper presents the significance of the ASR systems built in the past few years. This work also aims to introduce a new Arabic database for isolated word by defining a new concept of phonetic units: semi-syllable units. Thus the corpus contains a collection of semi-syllable audio files as well as their corresponding transcription files. This database will help us in future works. {\textcopyright} 2020 ACM.},
	keywords = {Arabic database, Arabic languages, Audio files, Automatic speech recognition, Database systems, Intelligent systems, Isolated words, Phonetic units, Speech recognition},
	doi = {10.1145/3419604.3419752},
	url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85096426261\&doi=10.1145\%2f3419604.3419752\&partnerID=40\&md5=257aeddd47cbb6849d761b06d43eaef2},
	author = {Boumehdi, A. and Yousfi, A.}
}
