Title :
Design of an Urdu speech recognizer based upon acoustic phonetic modeling approach
Author :
Akram, M.U. ; Arif, M.
Author_Institution :
Pakistan Inst. of Eng. & Appl. Sci., Islamabad, Pakistan
Abstract :
Automatic speech recognition (ASR) is one of the most developing fields of the modern science. It has many important applications in our social life as well as many areas of scientific disciplines like computer science, and media. The main aim of this paper is to analyze and implement different techniques of speech recognition like pattern-matching or acoustic phonetic modeling to Urdu language. A prototype has been developed which recognizes the continuous Urdu speech with 55 to 60% accuracy.
Keywords :
pattern matching; speech processing; speech recognition; Urdu speech recognizer; acoustic phonetic modeling approach; automatic speech recognition; pattern-matching; Acoustical engineering; Automatic speech recognition; Design engineering; Discrete cosine transforms; Natural languages; Pattern matching; Pattern recognition; Speech analysis; Speech recognition; Vocabulary;
Conference_Titel :
Multitopic Conference, 2004. Proceedings of INMIC 2004. 8th International
Print_ISBN :
0-7803-8680-9
DOI :
10.1109/INMIC.2004.1492852
