This paper studies three feature extraction methods, Mel-Frequency Cepstral Coefficients (MFCC), Power-Normalized Cepstral Coefficients (PNCC), and Modified Group Delay Function (ModGDF) for the development of an Automated Speech Recognition System (ASR) in Arabic. The Support Vector Machine (SVM) algorithm processed the obtained features. These feature extraction algorithms extract speech or voice characteristics and process the group delay functionality calculated straight from the voice signal. These algorithms were deployed to extract audio forms from Arabic speakers. PNCC provided the best recognition results in Arabic speech in comparison with the other methods. Simulation results showed that PNCC and ModGDF were more accurate than MF...
Automatic speaker recognition is one of the difficult tasks in the field of computer speech and spea...
In this research Arabic speech sounds have been studied and investigated, so as to find the distinct...
The main theme of this research is the recognition of Arabic phonemes using techniques of artificia...
Speech recognition is of an important contribution in promoting new technologies in human computer i...
Speech recognition, also known as automated speech recognition (ASR), computer speech recognition, o...
Automatic Speech Recognition (ASR)for Arabic word has been developed in this work. The system has th...
Automatic Speech Recognition (ASR), also known as Speech-To-Text (STT) or computer speech recognitio...
Despite the fact that Arabic language is currently one of the most common languages worldwide, there...
This work describes the recognition of phonetic Arabic figures. Speech recognition technology has ma...
The Automatic Speech Recognition (ASR) applied to Arabic language is a challenging task. This is mai...
This paper reports the design, implementation, and evaluation of a research work for developing a hi...
AbstractThis work describes the recognition of phonetic Arabic figures. Speech recognition technolog...
Speech recognition is one of the important applications of artificial intelligence (AI). Speech reco...
This paper proposes evaluation of sound parameterization methods in recognizing some spoken Arabic w...
In this thesis a new Speaker Verification System (SVS) methodology is developed. The objective is to...
Automatic speaker recognition is one of the difficult tasks in the field of computer speech and spea...
In this research Arabic speech sounds have been studied and investigated, so as to find the distinct...
The main theme of this research is the recognition of Arabic phonemes using techniques of artificia...
Speech recognition is of an important contribution in promoting new technologies in human computer i...
Speech recognition, also known as automated speech recognition (ASR), computer speech recognition, o...
Automatic Speech Recognition (ASR)for Arabic word has been developed in this work. The system has th...
Automatic Speech Recognition (ASR), also known as Speech-To-Text (STT) or computer speech recognitio...
Despite the fact that Arabic language is currently one of the most common languages worldwide, there...
This work describes the recognition of phonetic Arabic figures. Speech recognition technology has ma...
The Automatic Speech Recognition (ASR) applied to Arabic language is a challenging task. This is mai...
This paper reports the design, implementation, and evaluation of a research work for developing a hi...
AbstractThis work describes the recognition of phonetic Arabic figures. Speech recognition technolog...
Speech recognition is one of the important applications of artificial intelligence (AI). Speech reco...
This paper proposes evaluation of sound parameterization methods in recognizing some spoken Arabic w...
In this thesis a new Speaker Verification System (SVS) methodology is developed. The objective is to...
Automatic speaker recognition is one of the difficult tasks in the field of computer speech and spea...
In this research Arabic speech sounds have been studied and investigated, so as to find the distinct...
The main theme of this research is the recognition of Arabic phonemes using techniques of artificia...