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

Natural language1.00
Speech1.00
AI hardware0.55
Machine learning0.31
Knowledge representation0.02
Vision0.01
Planning0.00
Evolutionary computation0.00

Ownership

SAKHR SOFTWARE COMPANY

assignment · 120570701

Assignors

GHALI, MIKHAIL E.

On an employer assignment, the assignors are typically the inventors.

© 2026 NYSGPT2525 LLC