Update README.md

README.md

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 <iframe src="https://ghbtns.com/github-btn.html?user=speechbrain&repo=speechbrain&type=star&count=true&size=large&v=2" frameborder="0" scrolling="0" width="170" height="30" title="GitHub"></iframe>
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-# DVoice
-DVoice is a community initiative that aims to provide Africa low resources languages with data and models to facilitate their use of voice technologies. The lack of data on these languages makes it necessary to collect data using methods that are specific to each one. Two different approaches are currently used: the DVoice platforms ([https://dvoice.ma](https://dvoice.ma) and [https://dvoice.sn](https://dvoice.sn)), which are based on Mozilla Common Voice, for collecting authentic recordings from the community, and transfer learning techniques for automatically labeling recordings that are retrived from social medias. The DVoice platform currently manages 7 languages including Darija (Moroccan Arabic dialect) whose dataset appears on this version, Wolof, Mandingo, Serere, Pular, Diola and Soninke.
-
-For this project, AIOX Labs the SI2M Laboratory are joining forces to build the future of technologies together.
-
-# AIOX Labs
-Based in Rabat, London and Paris, AIOX-Labs mobilizes artificial intelligence technologies to meet the business needs and data projects of companies.
-
-- He is at the service of the growth of groups, the optimization of processes or the improvement of the customer experience.
-- AIOX-Labs is multi-sector, from fintech to industry, including retail and consumer goods.
-- Business ready data products with a solid algorithmic base and adaptability for the specific needs of each client.
-- A complementary team made up of doctors in AI and business experts with a solid scientific base and international publications.
-
-Website: [https://www.aiox-labs.com/](https://www.aiox-labs.com/)
-
-# SI2M Laboratory
-The Information Systems, Intelligent Systems and Mathematical Modeling Research Laboratory (SI2M) is an academic research laboratory of the National Institute of Statistics and Applied Economics (INSEA). The research areas of the laboratories are Information Systems, Intelligent Systems, Artificial Intelligence, Decision Support, Network and System Security, Mathematical Modelling.
-
-Website: [SI2M Laboratory](https://insea.ac.ma/index.php/pole-recherche/equipe-de-recherche/150-laboratoire-de-recherche-en-systemes-d-information-systemes-intelligents-et-modelisation-mathematique)
-
-# SpeechBrain
-SpeechBrain is an open-source and all-in-one speech toolkit. It is designed to be simple, extremely flexible, and user-friendly. Competitive or state-of-the-art performance is obtained in various domains.
-Website: https://speechbrain.github.io/
-GitHub: https://github.com/speechbrain/speechbrain
-
 # wav2vec 2.0 with CTC/Attention trained on DVoice Fongbe (No LM)
 This repository provides all the necessary tools to perform automatic speech
 recognition from an end-to-end system pretrained on a [ALFFA](https://github.com/besacier/ALFFA_PUBLIC) Fongbe dataset within
@@ -86,6 +61,32 @@ To train the model from scratch, please see our GitHub tutorial [here](https://g
 # Limitations
 The SpeechBrain team does not provide any warranty on the performance achieved by this model when used on other datasets.
 
+# About DVoice
+DVoice is a community initiative that aims to provide Africa low resources languages with data and models to facilitate their use of voice technologies. The lack of data on these languages makes it necessary to collect data using methods that are specific to each one. Two different approaches are currently used: the DVoice platforms ([https://dvoice.ma](https://dvoice.ma) and [https://dvoice.sn](https://dvoice.sn)), which are based on Mozilla Common Voice, for collecting authentic recordings from the community, and transfer learning techniques for automatically labeling recordings that are retrived from social medias. The DVoice platform currently manages 7 languages including Darija (Moroccan Arabic dialect) whose dataset appears on this version, Wolof, Mandingo, Serere, Pular, Diola and Soninke.
+
+For this project, AIOX Labs the SI2M Laboratory are joining forces to build the future of technologies together.
+
+# About AIOX Labs
+Based in Rabat, London and Paris, AIOX-Labs mobilizes artificial intelligence technologies to meet the business needs and data projects of companies.
+
+- He is at the service of the growth of groups, the optimization of processes or the improvement of the customer experience.
+- AIOX-Labs is multi-sector, from fintech to industry, including retail and consumer goods.
+- Business ready data products with a solid algorithmic base and adaptability for the specific needs of each client.
+- A complementary team made up of doctors in AI and business experts with a solid scientific base and international publications.
+
+Website: [https://www.aiox-labs.com/](https://www.aiox-labs.com/)
+
+# SI2M Laboratory
+The Information Systems, Intelligent Systems and Mathematical Modeling Research Laboratory (SI2M) is an academic research laboratory of the National Institute of Statistics and Applied Economics (INSEA). The research areas of the laboratories are Information Systems, Intelligent Systems, Artificial Intelligence, Decision Support, Network and System Security, Mathematical Modelling.
+
+Website: [SI2M Laboratory](https://insea.ac.ma/index.php/pole-recherche/equipe-de-recherche/150-laboratoire-de-recherche-en-systemes-d-information-systemes-intelligents-et-modelisation-mathematique)
+
+# About SpeechBrain
+SpeechBrain is an open-source and all-in-one speech toolkit. It is designed to be simple, extremely flexible, and user-friendly. Competitive or state-of-the-art performance is obtained in various domains.
+Website: https://speechbrain.github.io/
+GitHub: https://github.com/speechbrain/speechbrain
+
+
 # Referencing SpeechBrain
 ```
 @misc{SB2021,
@@ -97,6 +98,5 @@ The SpeechBrain team does not provide any warranty on the performance achieved b
     howpublished = {\\\\url{https://github.com/speechbrain/speechbrain}},
   }
 ```
-
 # Acknowledgements
 This research was supported through computational resources of HPC-MARWAN (www.marwan.ma/hpc) provided by CNRST, Rabat, Morocco. We deeply thank this institution.