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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

You can contribute!

Share your Resources

Arabic Speech acts like a hub for all resources that can support ArabicSpeech community, share yours with it's license with us

Share resource!
MyVoice

You can contribute to ArabicSpeech by sharing your voice for multiple dialects with us

Share your voice!

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Hi all, SLT'22 will organize a hackathon event. Please check https://slt2022.org/hackathon.php The application deadline is Sep. 30th! @ieee_slt

Have you wondered about the magic behind generative AI art tools like DALL·E and Midjourney? Seeing the outputs is fun, and learning the algorithms can be even more rewarding. Today we look at 4 popular Machine Learning models — Autoencoder, Transformer, Diffusion Model, and GAN.

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Last chance! Submit a paper for #SLT2022 by July 15, 2022. Learn more about all topics and submission guidelines here: https://slt2022.org/paper-submission.php
@ieee_slt #speechProc

Have you ever considered becoming a student volunteer? We are looking for student volunteers to work with us in Incheon - we have an interesting offer for you that combines your learning experience with support for the registration! https://bit.ly/3yhQcHT

JSALT2022 Opening Day Presentations Introduction by Sanjeev Khudanpur
@jhuclsp
https://youtube.com/watch?v=p1peJh6dkfo
https://clsp.jhu.edu/2022-eighth-frederick-jelinek-memorial-summer-workshop/#
#speechproc

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