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

May

June 2021

July

SA
SU
MO
TU
WE
TH
FR

29
30
31
1
2
3
4

5
6
7
8
9
10
11

12
13
14
15
16
17
18

19
20
21
22
23
24
25

26
27
28
29
30
1
2

Arabic SpeechFollow

Retweet on Twitter Arabic Speech Retweeted

Michael Auli @MichaelAuli·

21 May

Today we are announcing our work on building speech recognition models without any labeled data! wav2vec-U rivals some of the best supervised systems from only two years ago.

Paper: https://ai.facebook.com/research/publications/unsupervised-speech-recognition
Blog: https://ai.facebook.com/blog/wav2vec-unsupervised-speech-recognition-without-supervision
Code: https://github.com/pytorch/fairseq/tree/master/examples/wav2vec/unsupervised

Reply on Twitter 1395753944173801479 Retweet on Twitter 1395753944173801479333 Like on Twitter 13957539441738014791402 Twitter 1395753944173801479

Retweet on Twitter Arabic Speech Retweeted

Yann LeCun @ylecun·

21 May

Wave2vec-Unsupervised is particularly useful for languages, dialects, and accents for which little or no transcribed data is available.
Here is an example demo in Swahili. https://twitter.com/MichaelAuli/status/1395774305372237825

Michael Auli@MichaelAuli

It also works in languages other than English, see the Swahili demo below. So far we tried it on Kyrgyz, Tatar, German, Dutch, French, Spanish, Portuguese, Italian.

Reply on Twitter 1395823228627656710 Retweet on Twitter 139582322862765671048 Like on Twitter 1395823228627656710257 Twitter 1395823228627656710

Retweet on Twitter Arabic Speech Retweeted

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

Reply on Twitter 1371467045871755264 Retweet on Twitter 13714670458717552644 Like on Twitter 137146704587175526416 Twitter 1371467045871755264

Retweet on Twitter Arabic Speech Retweeted

🔥 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! 🧵👇

Reply on Twitter 1375828049720135691 Retweet on Twitter 13758280497201356911564 Like on Twitter 13758280497201356916864 Twitter 1375828049720135691

Retweet on Twitter Arabic Speech Retweeted

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.

Reply on Twitter 1375437684236296199 Retweet on Twitter 13754376842362961993 Like on Twitter 137543768423629619912 Twitter 1375437684236296199