Arich and balanced phonetics corpus for modern standard Arabic ASR systems

Arich and balanced phonetics corpus for modern standard Arabic ASR systems | Boutazart | Indonesian Journal of Electrical Engineering and Computer Science User Username Password Remember me Citation Analysis Google Scholar Dimensions Crossref Sinta 1 EBSCO Quick Links Author Guideline Editorial Boards Online Paper Submission Publication Fee Abstracting and Indexing Publication Ethics Visitor Statistics Contact Us Withdrawal of Manuscript Generative AI Policies Journal Content Search Search Scope All Authors Title Abstract Index terms Full Text Browse By Issue By Author By Title Information For Readers For Authors For Librarians Home About Login Register Search Current Archives Announcements Home > Vol 41, No 3 > Boutazart Arich and balanced phonetics corpus for modern standard Arabic ASR systems Youssef Boutazart, Naouar Laaïdi, Abderrahim Ezzine, Hassan Satori, Mohamed Taj Bennani Abstract This research delves into the creation of an innovative Modern Standard Ara bic corpus, aiming for a comprehensive balance and richness while adhering to Zipf’s law. Building a phonetically diverse Arabic sentence collection yields significant advantages in terms of efficiency, cost-effectiveness, and storage ca pacity compared to conventional corpora. The corpus undergoes meticulous seg mentation into graphemes, which are then manually converted into phonemes, resulting in a total of 19769 phonemic units. Among these phonemes, conso nants like ’Laam- l’ account for 10%, while ’Fatha- A’ vowels constitute 20%. Evaluation of this corpus using an automatic speech recognition (ASR) system reveals a sentence error rate (SER) of 30% and a word error rate (WER) of 15%. Furthermore, statistical analysis unveils that diacritic marks encompass 47.59% of the corpus, with graphemes comprising the remaining 52.41%. These dia critized marks provide valuable insights into the precise phonetic transcription of the corpus. Additionally, the study provides detailed breakdowns of consonants based on their place and manner of articulation, enhancing our understanding of phonetic structures. Keywords Modern standard Arabic; Phonetically balanced corpus; Phonetically rich corpus; Segmentation grapheme to phoneme; Zipf’s law Full Text: PDF DOI: http://doi.org/10.11591/ijeecs.v41.i3.pp1049-1059 Refbacks There are currently no refbacks. This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License . Indonesian Journal of Electrical Engineering and Computer Science (IJEECS) p-ISSN: 2502-4752, e-ISSN: 2502-4760 This journal is published by the Institute of Advanced Engineering and Science (IAES) . IJEECS visitor statistics

Related documents

• Arich and balanced phonetics corpus for modern standard Arabic ASR systems#147908
• Replication Data for "The Mason-Alberta Phonetic Segmenter: A forced alignment system based on deep neural networks and interpolation"#377866
• An Automated Tool for Comparing Phonetic Transcriptions#346743
• The Hidden Cost of Digits: Number Normalization and WER in ASR Systems#1035054
• Unadapted Multilingual ASR on a Garrusi Kurdish Evaluation Set: A Common-Reference Staged Normalization Analysis#620777