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

Our events

April

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Events for May

31st

No Events

Arabic SpeechFollow

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SpeechBrain @SpeechBrain1·

15 Mar

Thanks, @mircoravanelli!
I hope I can be helpful to all the developers of #speech technologies that are looking for a simple and intuitive #opensource toolkit. I still support many #speech tasks and, with a bigger community, I can keep growing!

https://speechbrain.github.io/ https://twitter.com/mirco_ravanelli/status/1371464761536348161

Mirco Ravanelli@mirco_ravanelli

I'm thrilled to announce the public release of #SpeechBrain!

#SpeechBrain is an #opensource toolkit designed to make research and development of #speech technologies faster. It is flexible, modular, easy-to-use, well documented.

https://speechbrain.github.io/

#DeepLearning #AI

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🔥 Kareem Carr 🔥@kareem_carr·

27 Mar

FOUR things to know about race and gender bias in algorithms:

1. The bias starts in the data

2. The algorithms don't create the bias but they do transmit it

3. There are a huge number of other biases. Race and gender bias are just the most obvious

4. It's fixable! 🧵👇

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Interspeech 2021 @INTERSPEECH2021·

26 Mar

Dear followers, it looks like my submission system is pretty much running normally again! What a relief! 😅

Just to be on the safe side: May I ask you not to upload all your papers at the same time now that things are working again 😝

Can't wait to see all your submissions! 🥳 https://twitter.com/INTERSPEECH2021/status/1375383884674826242

Interspeech 2021@INTERSPEECH2021

@HarveenChadha Dear followers, it looks like patience is needed in order to submit your paper. Currently it looks like the system is flooded with "last day" submissions as the system seems to be working for some people. Please try again l8r. In the meantime, we are looking into what we can do.

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Arabic Speech @ArabicSpeech·

24 Mar

Communications of the ACM@CACMmag

"Connecting Arabs: Bridging the Gap in Dialectal Speech Recognition," by @ahmaksod et al., on the challenges to automatic #speech #recognition of #Arabic due to its rich dialectal variety. From the #April2021 Arab World Region Special Section. https://bit.ly/3f9Vihx

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Yann LeCun @ylecun·

20 Mar

Open-source speech recognition for Indic languages built on top of Facebook's wav2vec 2.0 https://twitter.com/HarveenChadha/status/1373257469850357760

Harveen Singh Chadha@HarveenChadha

Open Source Alert: Very excited to announce we are open sourcing Vakyash, a speech recognition framework to democratize speech recognition in Indic Languages.

Some key features:

1. End to end training and experimentation platform built on top of @facebookai Wav2Vec 2.0.

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