5-Day Training on Automatic Speech Recognition

Event Info

February 15, 2021 -February 19, 2021 |(Monday – Friday)
10:00 AM – 05:00 PM
Online via Zoom

Abstract

Automatic Speech Recognition (ASR) has altered the way the humans interact with the machines. It has been an intensive research topic for the past two decades and has found wide-ranging applications including the extraction of valuable insights from real-time telephonic transcriptions, improving customer service in a call center, performing semantic analysis of a conversation, and limited or open domain speech translation. To acquaint the learners with theoretical and practical knowledge of the ASR and its interesting applications, a five-day workshop has been arranged by Deep Learning Lab, NCAI and SEECS. The workshop will help the participants get a deep dive into the underlying architecture and algorithms of ASR and get hands-on experience with the state-of-the-art ASR language modeling methods. Become a part of this exciting workshop and learn about the AI perspective of human-computer interaction through enlightening lectures and training classes. Do not miss out the opportunity to learn and experience how an AI-driven voice-based future will look like!

Learning Outcomes

The workshop will give a knowledge boost around following points:

Introduction to Machine Learning and Speech Recognition Applications
Working mechanism of Automatic Speech Recognition (ASR)
Learning and implementing the Language and Acoustic Models
Using Neural Networks for Acoustic Modeling

Key Benefits

After attending the workshop, you will be able to:

Have a better understanding of AI Speech Recognition systems.
Identify the key challenges related to ASR
Identify the key application areas of ASR
Understand how ASR uses volumes of speech data to increase the efficiency of a system

Speakers

Dr. Muhammad Ali Tahir has completed his Ph.D. in Automatic speech recognition from RWTH Aachen University. During his 11 year stay in Germany he has worked on different EU-funded projects related to speech recognition, primarily aiming to bridge the language divide in a multilingual Europe. During his time at NUST he has been collaborating with local industry to create Urdu voice-based solutions for conversational agents and vehicle navigation. He has also launched an Urdu website, UrduAsr which is being used by thousands of people for Urdu voice-based typing. He is currently working at Co-PI at Deep Learning Lab (DLL) at National Center of Artificial Intelligence (NCAI), NUST.

Prof. Dr. Faisal Shafait is working as Professor in the School of Electrical Engineering and Computer Science (SEECS) at the National University of Sciences and Technology (NUST), Islamabad, Pakistan. He is also an Adjunct Professor at The University of Western Australia, Perth, Australia. His research interests include machine learning and computer vision with a special emphasis on applications in document image analysis and recognition. He is the director of Deep Learning Lab (DLL) at National Center of Artificial Intelligence (NCAI), NUST, Islamabad, Pakistan. He has received the IAPR/ICDAR Young Investigator Award by the International Association of Pattern Recognition (IAPR) in 2019 and have recently been included in the list of the World’s Top 2% Scientists compiled by Stanford University.