Paper Info
Title
Rapid phonetic transcription using everyday life natural Chat Alphabet orthography for dialectal Arabic speech recognition
Abstract
We propose the Arabic Chat Alphabet (ACA) as naturally written in everyday life for dialectal Arabic speech transcription. Our assumption is that ACA is a natural language that includes short vowels that are missing in traditional Arabic orthography. Furthermore, ACA transcriptions can be rapidly prepared. Egyptian Colloquial Arabic was chosen as a typical dialect. Two speech recognition baselines were built: phonemic and graphemic. Original transcriptions were re-written in ACA by different transcribers. Ambiguous ACA sequences were handled by automatically generating all possible variants. ACA variations across transcribers were modeled by phonemes normalization and merging. Results show that the ACA-based approach outperforms the graphemic baseline while it performs as accurate as the phoneme-based baseline with a slight increase in WER.
Year
DOI
Venue
2011
10.1109/ICASSP.2011.5947463
Acoustics, Speech and Signal Processing
Keywords
Field
DocType
speech processing,speech recognition,Arabic chat alphabet,Egyptian colloquial Arabic,WER,dialectal Arabic speech transcription,dialectal arabic speech recognition,graphemic baseline,natural chat alphabet orthography,natural language,phoneme-based baseline,rapid phonetic transcription,Arabic,acoustic modeling,chat alphabet,phonetic transcription,speech recognition
Speech processing,Transcription (linguistics),Everyday life,Phonetic transcription,Arabic,Computer science,Orthography,Speech recognition,Natural language,Natural language processing,Artificial intelligence,Hidden Markov model
Conference
ISSN
ISBN
Citations 
1520-6149 E-ISBN : 978-1-4577-0537-3
978-1-4577-0537-3
3
PageRank 
References 
Authors
0.50
3
4
Name
Order
Citations
PageRank
Mohamed Elmahdy1134.57
Rainer Gruhn2456.86
Slim Abdennadher339460.95
Wolfgang Minker4619108.61