DETERMINING A COMPACT MODEL TO TRANSCRIBE THE ARABIC LANGUAGE ACOUSTICALLY IN A WELL DEFINED BASIC PHONETIC STUDY
Patent №
US 7,107,215
Granted
2006-09-12
Filed 2001
Owner
SAKHR SOFTWARE COMPANY
Lab
—
AI components
3
nlp · speech · hardware
Assignment
Recorded
Dataset
AIPD
2023_r1 edition
Application
09835535
In the development of an automatic speech recognition (ASR) system, an extensive study of the basic phonetic alphabet is performed to collect information regarding phonology and phonetics of the language or dialect in question (modern standard Arabic or MSA in this case). In addition, terminological and transcriptional problems are identified with respect to the language or dialect in question. Next, based on feature description (rather than symbol shapes), the symbols in the literature are mapped to a single or more recent phonetic alphabet. Lastly, from a maximal set containing all the phonemes, allophones, and transliteration symbols, a reduced set is created with a compact set of phonetic alphabets. Memory consumption is greatly reduced in a computer system by using this compact set of phonetic alphabets.
AI classification
Ownership
SAKHR SOFTWARE COMPANY
assignment · 120570701
Assignors
GHALI, MIKHAIL E.
On an employer assignment, the assignors are typically the inventors.