ArabicSpeech – A community for all Arabic speakers to enhance arabic speech research

— Speech Technologies

Technologies behind Speech analysis

— Arabic Speech Resources

Enhance Arabic dialect speech resources

— Meetups

Annual meetings

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!

Our events

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March 2023

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Events for March

31st

No Events

Arabic SpeechFollow

Arabic Speech @ArabicSpeech·

20 Feb

Excited to share that QASR TTS corpus/code/demo is available here: https://arabicspeech.org/qasr_tts/
More resources are coming soon!

Ahmed Ali@ahmaksod

Build your anchor speaker text to speech using less than one hour!
Unsupervised Data Selection for Text to Speech: Using Arabic Broadcast News as a Case Study
Blog: https://arabicspeech.org/qasr_tts/
Code: https://github.com/espnet/espnet/tree/master/egs2/qasr_tts/tts1
Demo: https://bcntts.qcri.org/
Paper: https://arxiv.org/abs/2301.09099

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Arabic Speech @ArabicSpeech·

23 Dec

Remind us with @rogerkmoore's talk: Are we nearly there yet?
Looking forward to Sanjeev and panelist discussion.
@jhuclsp @ieee_slt #speechproc

SLT 2022@ieee_slt

🌟What comes after deep learning?
Join us for in-person #panelDiscussion lead by Dr Sanjeev and our panelist for a thought-provoking discussion on 11 Jan23. For any question/comment to our panelist email us: info.slt2022@gmail.com or reply to this tweet.
https://youtu.be/4vBn_gPwvtQ

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Shammur Absar @shammur_absar·

21 Nov

Dialectal intrasentential code-switching Arabic-English(/French) ASR test set is now available for download from @ArabicSpeech Portal.
Check Data: https://arabicspeech.org/escwa/
and let us know what you think about it.
#speechProc #dialectalArabicSpeech @qcrialt @QatarComputing

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Arabic Speech @ArabicSpeech·

28 Oct

First speech conference in the region. Don't miss it out.
2-days #speechproc hackathon and Technologies for the spoken languages of the world. Join in person and make SLT2022 success!
https://slt2022.org/registration.php

SLT 2022@ieee_slt

We received many requests to extend author registration due to @ieeeICASSP submission deadline.
📢We extended the author registration period till 3 November.
Join us in person in Doha, for SLT2022. 🏜️

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Shinji Watanabe @shinjiw_at_cmu·

3 Aug

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

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