The Arabic language is a collection of varieties, among which Modern Standard Arabic (MSA) has a special case, because it is the formal language of media, culture, and education in the Arab world. Other varieties are the informal spoken dialects which are the medium of communication of everyday life. Substantial differences between the two varieties can be found in terms of phonology, morphology, lexical choice, and syntax. The main purpose of this study is to model the Libyan Arabic dialects for speech recognition. Specifically, it attempts to propose a Libyan Arabic dialect-influenced phonetic modeling for use of ASR
In this paper two aspects of generating and using phonetic Arabic dictionaries are described. First,...
We study the effectiveness of recently developed language recognition techniques based on speech rec...
Amajor problem with dialectal Arabic acoustic modeling is due to the very sparse available speech re...
Novel Techniques for Dialectal Arabic Speech describes approaches to improve automatic speech recogn...
We present in this chapter a practical approach in building Arabic automatic speech recognition (ASR...
AbstractThis paper addresses the adaptation of Arabic speech recognition (ASR) systems to foreign ac...
International audienceAlthough Modern Standard Arabic is taught in schools and used in written commu...
Speech dialects refer to linguistic and pronunciation variations in the speech of the same language....
Although Arabic is currently one of the most widely spoken lan-guages in the world, there has been r...
In this paper, we analyze the impact of five Arabic dialects on the front-end and pronunciation dict...
Automatic Speech Recognition (ASR), also known as Speech-To-Text (STT) or computer speech recognitio...
The Arabic language is a collection of multiple variants, among which Modern Standard Arabic (MSA) h...
In this research, we propose a hybrid approach for acoustic and pronunciation modeling for Arabic sp...
Phonetic dictionaries are regarded as pivotal components of speech recognition systems. The function...
The Automatic Speech Recognition (ASR) applied to Arabic language is a challenging task. This is mai...
In this paper two aspects of generating and using phonetic Arabic dictionaries are described. First,...
We study the effectiveness of recently developed language recognition techniques based on speech rec...
Amajor problem with dialectal Arabic acoustic modeling is due to the very sparse available speech re...
Novel Techniques for Dialectal Arabic Speech describes approaches to improve automatic speech recogn...
We present in this chapter a practical approach in building Arabic automatic speech recognition (ASR...
AbstractThis paper addresses the adaptation of Arabic speech recognition (ASR) systems to foreign ac...
International audienceAlthough Modern Standard Arabic is taught in schools and used in written commu...
Speech dialects refer to linguistic and pronunciation variations in the speech of the same language....
Although Arabic is currently one of the most widely spoken lan-guages in the world, there has been r...
In this paper, we analyze the impact of five Arabic dialects on the front-end and pronunciation dict...
Automatic Speech Recognition (ASR), also known as Speech-To-Text (STT) or computer speech recognitio...
The Arabic language is a collection of multiple variants, among which Modern Standard Arabic (MSA) h...
In this research, we propose a hybrid approach for acoustic and pronunciation modeling for Arabic sp...
Phonetic dictionaries are regarded as pivotal components of speech recognition systems. The function...
The Automatic Speech Recognition (ASR) applied to Arabic language is a challenging task. This is mai...
In this paper two aspects of generating and using phonetic Arabic dictionaries are described. First,...
We study the effectiveness of recently developed language recognition techniques based on speech rec...
Amajor problem with dialectal Arabic acoustic modeling is due to the very sparse available speech re...