Yifan Zhang | Hamad Bin Khalifa University

Yifan Zhang

Senior Software Engineer

Office location

Research Complex B1-1130

Yifan Zhang

Senior Software Engineer

Educational Qualifications

Master of Science (with Distinction)

Lion Laboratories Prize for Best Project

Entity

Qatar Computing Research Institute

Divison

Arabic Language Technologies

Biography

Yifan Zhang has worked in industry for more than 10 years researching and developing speech recognition and language-related products. Prior to joining QCRI, he was building information discovery engines for innovative news services. He has been a key member as a full stack research scientist in developing speech recognition engines serving millions of customers in speech recognition teams in both SpinVox Nuance and Autonomy.

Master of Science (with Distinction)

Cardiff University, UK

2004

Lion Laboratories Prize for Best Project

Cardiff University, Cardiff, UK

2001

  • Artificial Intelligence
  • Speech Recognition
  • Knowledge Graph

Senior Software Engineer

Qatar Computing Search Institute, Qatar

2013 ~

Sr. Research Engineer

Wavii (Google), US

2012 ~ 2013

Senior Research Engineer

SpinVox (Nuance), UK

2008 ~ 2012

R&D Engineer

Autonomy, UK

2005 ~ 2008

Lead Developer

Tianchuang Software, China

2001 ~ 2002

  • The MGB-2 Challenge: Arabic Multi-Dialect Broadcast Media Recognition. In Proceedings of the Spoken Language Technology Workshop (SLT 2016) IEEE, California, USA.

  • QATS – The QCRI Advanced Transcription and Translation System. In Proceedings of INTERSPEECH 2015. Dresden, Germany. September 2015.

  • A Complete Kaldi Recipe For Building Arabic Speech Recognition Systems. In Proceedings of the Spoken Language Technology Workshop (SLT 2014) IEEE, Nevada, USA, December 2014.

  • In Proceedings of the Spoken Language Technology Workshop (SLT 2014) IEEE, Nevada, USA, December 2014.

  • Recent Advances in ASR Applied to an Arabic Transcription System for Al-Jazeera. In Proceedings of the Conference INTERSPEECH, Singapore, September 2014.

  • The MGB-2 Challenge: Arabic Multi-Dialect Broadcast Media Recognition. In Proceedings of the Spoken Language Technology Workshop (SLT 2016) IEEE, California, USA.