About
Arabic Speech is a community that runs for the benefit of Arabic Speech Science and Speech Technologies. Arabic speech is concerned with technologies in speech and language processing. Our main focus will be the Arabic language, both standard and dialectal.
Arabic speech will help to build innovation and technology capacities for the Arabic language. It will focus on tackling large-scale computing challenges that address real priorities that will impact people’s life. We address the state of the art as well as the state of the market challenges. We help to push the boundaries for Arabic speech to make it world-class technology.
Automatic Speech Recognition
Automatic Speech Recognition (ASR) is the process of converting the speech signal into its corresponding text. The quality of ASR systems is measured by how close their recognized sequences of words are to human recognized sequences of words.
Arabic Dialect Identifcation
Dialect identification (DID) is a special case of Language identification (LID) problem. This is the process of automatically identifying the language class for a given speech segment.
Text to Speech
The Text to Speech (TTS) technology aims to convert a sequence of words into speech.
Language Models
Language Models are building block of many speech and NLP technology that aims at accurately estimating the probability distribution of a word sequences or sentences produced in a natural language
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