Date: 29-30 April, 2019
Location: HBKU Research Complex, Multipurpose Room
Introduction: The first annual meeting for the Arabic Speech community will be hosted by Qatar Center for Artificial Intelligence (QCAI) of Qatar Computing Research Institute (QCRI).
The purpose of this workshop is to bring together researchers, practitioners, students and industry experts in the fields of speech recognition and language processing with special attention to Arabic (standard and dialectal) to present recent advances, to discuss open research questions, and to bridge the gap between research and industry needs on certain concrete problems.
We will address these topics of interest through both invited and contributed talks from leading AI companies in speech processing, such as Google, Amazon and Facebook AI Research (FAIR). Additionally, the workshop will feature talks from prestigious speech research teams from Johns Hopkins, Edinburgh and Aalto universities.
The Arabic Speech workshop will serve as a platform for the exchange of ideas and the identification of important and challenging applications. Arabic Speech (https://arabicspeech.org/)is an organization that runs for the benefit of Arabic speech science and technology community. Arabic speech 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. You can learn more about it here: arabicspeech.org
We invite colleagues from both academic and industrial fields to attend, contribute and discuss these topics with leading experts and practitioners from around the world.
To register to the event, please click here.
Please contact Dr Ahmed Ali for questions about the event.
EVENT AGENDA
| Monday, 29 April 2019 | |
| 8:30 – 9:00 | Registration |
| 9:00 – 9:30 | Opening remark and Introduction to Arabic Speech |
| 9:30 – 10:15 | “Emotion recognition and sentiment analysis based on speech for call center applications”
by Najim Dehak | Johns Hopkins University |
| 10:15 – 10:30 | “WaveFont – Visualization of information from the voice in captions”
by Tim Schlippe | Silicon Surfer |
| 10:30 – 10:45 | AM Break |
| 10:45 – 11:15 | “Aalto submission to the MGB-3 challenge”
by Peter Smit| Aalto University & Inscripta.io |
| 11:15 – 11:45 | “DNN statistical interpretation and normalization for ASR ”
by Erfan Loweimi | University of Edinburgh |
| 11:45 – 12:15 | “Speech recognition in the news room”
By Wassime Achkar| Aljazeera |
| 12:15 – 13:30 | LUNCH |
| 13:30 – 14:15 | “Transformers with convolutional context for ASR”
by Abdelrahman Mohamed | Facebook AI Research (FAIR) |
| 14:15 – 14:45 | “OCR and handwriting using kaldi”
by Jan Trmal | Johns Hopkins University |
| 14:45 – 15:15 | PM Break |
| 15:15 – 15:35 | “Arabic linguistic resources at Birzeit University”
by Mustafa Jarrar | Birzeit University |
| 15:35 – 15:55 | “Building large scale speech resources for Arabic – ELRA”
by Khalid Choukri | ELDA |
| 15:55 – 16:15 | “Algerian hierarchical classification for spoken dialect identification ” by Hadda Cherroun | Université Amar Telidji Laghouat |
| 16:15 – 17:00 | “Speech and Language Technologies for Arabic ” by Levent Arslan | Bogazici University and SESTEK Inc. |