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About


ArabicSpeech 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.
ArabicSpeech 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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espnet v.0.10.3 is released. A lot of new features in TTS! Many improvements in ASR/SSL/SLU! https://github.com/espnet/espnet/releases/tag/v.0.10.3

“I came into Stanford as a humanities major & always wondered how to connect the arts & CS. This course reassured me that I could bridge them & that there was a lot to be pursued at this intersection.”—Isabelle Lee on Michele Elam’s AI+Activism+Art course
https://hai.stanford.edu/news/inside-classroom-building-multidisciplinary-conversations-around-ai-and-art

The deadline for Full Paper Submission has been extended to the 6th of October! Check out the Important Dates (https://hubs.la/H0XJ90V0) page for more info. The paper submission instructions are available here: https://hubs.la/H0XJ9W60

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