Add to ORKGWe describe a telephone bandwidth speaker independent name recognition system for Saudi speakers. The acoustic models of this system are implemented using the Hidden Markov model toolkit (HTK) and developed based on the Saudi accented Arabic voice bank (SAAVB) database. The SAAVB database was designed for the construction and evaluation of speaker independent telephone speech recognition. It consists of 1033 speakers. Each speaker spoke 59 utterances. Our system has shown a word recognition rate of 79 % and a sentence recognition rat
Alphabet recognition is needed in many applications for retrieving information associated with the s...
AbstractThis paper reports an approach that depends on Continuous Hidden Markov Models (CHMMs) to id...
Problem statement: Researchers on Arabic speaker recognition have used local data bases unavailable ...
Automatic recognition of spoken digits is one of the difficult tasks in the field of computer speec...
Abstract- Automatic recognition of spoken digits is one of the difficult tasks in the field of compu...
Automatic speaker recognition is one of the difficult tasks in the field of computer speech and spea...
Abstract:- In this paper, we concentrate on the automatic recognition of Egyptian Arabic speech usin...
This paper reports the design, implementation, and evaluation of a research work for developing a hi...
AbstractThe aim of this paper is to present an Arabic speech database that represents Arabic native ...
In this research, spoken Arabic digits are investigated from the speech recognition problem point of...
(Received 02/04/2008; accepted for publication 25/06/2008) Abstract. The aim of this paper is to pre...
In this paper, a new suggested system for speaker recognition by using hidden markov model (HHM) alg...
The automatic recognition of foreign-accented Arabic speech is a challenging task since it involves ...
This paper describes an efficient framework for designing and developing Arabic speaker-independent ...
Pronunciation variability is by far the most critical issue for Arabic automatic speech recognition ...
Alphabet recognition is needed in many applications for retrieving information associated with the s...
AbstractThis paper reports an approach that depends on Continuous Hidden Markov Models (CHMMs) to id...
Problem statement: Researchers on Arabic speaker recognition have used local data bases unavailable ...
Automatic recognition of spoken digits is one of the difficult tasks in the field of computer speec...
Abstract- Automatic recognition of spoken digits is one of the difficult tasks in the field of compu...
Automatic speaker recognition is one of the difficult tasks in the field of computer speech and spea...
Abstract:- In this paper, we concentrate on the automatic recognition of Egyptian Arabic speech usin...
This paper reports the design, implementation, and evaluation of a research work for developing a hi...
AbstractThe aim of this paper is to present an Arabic speech database that represents Arabic native ...
In this research, spoken Arabic digits are investigated from the speech recognition problem point of...
(Received 02/04/2008; accepted for publication 25/06/2008) Abstract. The aim of this paper is to pre...
In this paper, a new suggested system for speaker recognition by using hidden markov model (HHM) alg...
The automatic recognition of foreign-accented Arabic speech is a challenging task since it involves ...
This paper describes an efficient framework for designing and developing Arabic speaker-independent ...
Pronunciation variability is by far the most critical issue for Arabic automatic speech recognition ...
Alphabet recognition is needed in many applications for retrieving information associated with the s...
AbstractThis paper reports an approach that depends on Continuous Hidden Markov Models (CHMMs) to id...
Problem statement: Researchers on Arabic speaker recognition have used local data bases unavailable ...