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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May 2022

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Events for May

31st

No Events

Arabic SpeechFollow

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Yann LeCun @ylecun·

3 May

OPT-175b:
Open Pre-Trained language model with 175 billion paramaters is now available to the research community.

Blog post: https://ai.facebook.com/blog/democratizing-access-to-large-scale-language-models-with-opt-175b
Paper: https://arxiv.org/abs/2205.01068
Code + small pre-trained models: https://github.com/facebookresearch/metaseq
(using OPT-175b requires a registration) https://twitter.com/MetaAI/status/1521489996145958914

Meta AI@MetaAI

Today Meta AI is sharing OPT-175B, the first 175-billion-parameter language model to be made available to the broader AI research community. OPT-175B can generate creative text on a vast range of topics. Learn more & request access: https://ai.facebook.com/blog/democratizing-access-to-large-scale-language-models-with-opt-175b

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SLT 2022 @ieee_slt·

25 Apr

SLT2022 Call For Papers is out!
Visit the workshop website and download the call for papers. https://slt2022.org/
Watch this space for the opening of the submission system and other exciting announcements!
See you in Qatar in January 2023! #callforpapers #SLT2022

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INTERSPEECH 2022 @ISCAInterspeech·

7 Mar

Only Two Weeks until the Paper Deadline! #INTERSPEECH2022

We are really looking forward to seeing the latest of your works!

#speech #language #science #technology people, keep up the good work and hope to see many submissions!

Submit Your Paper Today: https://bit.ly/3MsKjxP

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Eugene Kharitonov 🏴‍☠️@n0mad_0·

16 Feb

We are as excited about Textless NLP as ever - and we want to make it easier for everyone to join us in exploring its potential.

Today we are open-sourcing _textlesslib_, a research library that makes Textless NLP as simple as possible:
https://github.com/facebookresearch/textlesslib

1/n https://twitter.com/MetaAI/status/1436028477895942155

Meta AI@MetaAI

We’re introducing GSLM, the first language model that breaks free completely of the dependence on text for training. This “textless NLP” approach learns to generate expressive speech using only raw audio recordings as input. Learn more and get the code:
https://ai.facebook.com/blog/textless-nlp-generating-expressive-speech-from-raw-audio

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Arabic Speech @ArabicSpeech·

23 Jan

Dialectal speech translation challenge at @iwslt by @kevinduh, Matthew Wiesner, Paul McNamee and @kentonmurray
Great effort by @jhuclsp: more details https://iwslt.org/2022/dialect

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