Menu

Machine Listening

WiSSAP 2020

Website Under Construction

About

The Winter School on Speech and Audio Processing (WiSSAP) is an annual school, organized in India since 2006. It provides a forum for researchers to enhance their expertise by exposing them to areas at the forefront of speech and audio signal processing. The past 14 WiSSAPs have covered different aspects of speech and audio processing – perception/ recognition/ coding/ enhancement/ synthesis/ spatialization/ production/ hearing-aids etc.
The theme for WiSSAP 2020 is Machine Listening: making sense of sound.
The event will host invited talks and tutorials by eminent researchers in the field of machine perception, soundscape analysis and deep learning.

Machine Listening

What is machine listening?

Humans have an amazing ability to make sense of their surroundings using sound. For example, we routinely deal with situations like the ringing of the telephone in the office, the honking of a horn while driving and the sound made by the contents of a shaken box. Machine listening deals with creating algorithms which can perform similar tasks, and more. With varied applications like self-driving cars, intelligent assistive devices and enhanced human-computer interaction, machine listening brings together various domains like audio signal processing and modelling, atrificial intelligence, cognitive science and acoustics.

Speakers

Know more about our invited experts

Paris Smaragdis, UIUC

Paris Smaragdis

Paris Smaragdis is faculty at the Computer Science and the Electrical and Computer Engineering departments of the University of Illinois at Urbana-Champaign, as well as a senior research scientist at Adobe Research. He completed his masters, PhD, and postdoctoral studies at MIT, performing research on computational audition. His research is focused on machine learning approaches to solving various audio signal processing problems. In 2006 he was selected by MIT’s Technology Review as one of the year’s top young technology innovators for his work on machine listening, in 2015 he was elevated to an IEEE Fellow for contributions in audio source separation and audio processing, and he served as an IEEE SPS Distinguished Lecturer in 2016-2017. He is currently the chair of IEEE's Audio and Acoustic Signal Processing Technical Committee, and a member-at-large of the IEEE Signal Processing Society Board of Governors.
He has been the chair of the ICA/LCA steering committee, the chair of the IEEE Machine Learning for Signal Processing Technical Committee, a member of the IEEE Audio and Acoustic Signal Processing Technical Committee, an Associate Editor for the IEEE Signal Processing Letters, and a Senior Area Editor for the IEEE Signal Processing Transactions. He holds 37 US patents and many others internationally. More here.

Dan Stowell

Dan Stowell is a research fellow applying machine learning to sound. He develops new techniques in structured "machine listening", using both machine learning and signal processing, to analyse soundscapes with multiple birds. He also worked on voice, music, birdsong and environmental soundscapes.
He is an EPSRC research fellow based at Queen Mary University of London.
He is also a Fellow of the Alan Turing Institute. More here.

Schedule

Please find the tentative schedule below.

Schedule

In Dev Bhumi, Himachal Pradesh

Venue

Indian Institute of Technology Mandi
Kamand campus
Mandi district
Himachal Pradesh
Pin: 175005,
INDIA
Reaching the venue from the nearest airport:
Kangra Airport, Gaggal (Approximate travel time 4 hrs) click here for map
Chandigarh Airport (Approximate travel time 6 hrs) click here for map
Reaching the venue from the nearest bus stand (Buses from):
Chandigarh (from ISBT 43)
Delhi (Overnight journey, comfortable volvo buses)
click here for more details.


The historically eminent, spiritually significant and amazingly panoramic Mandi is spread out along the banks of River Beas. A commercial hub and a former capital of the princely state, the heritage town still radiates its historic charm and character. The town was founded in 1526 AD and it was made the district headquarter by merger of the princely states of Mandi and Suket after independence. Besides the river ghats and among streets of Mandi, there are over 80 ancient temples that are decorated with religious motifs and well chiselled idols of gods and goddesses. The presence of Lord Shiva as the main deity of Bhootnath, Trilokinath, Panchvaktra and other important temples has ordained Mandi as the ‘Varanasi of the Hills’. For more details click here.

We look forward to meet you in WiSSAP 2020. Seats are limited.

Registration

We are accepting only online registration with the below fee structure. The early registration deadline is 11:55 pm, 15th December 2019. Post this date the fee will increase by 500 INR.

Category ISCA/IEEE Members Otherwise
Student INR 4000 INR 5000
Academic Staff INR 6000 INR 7000
Industry INR 8000 INR 9000

Make online fee payment to the below SBI bank account, and fill the payment transaction ID and your details at: to be updated.

Bank Account Details Bank Address
To be updated To be updated
Any refund request will be entertained only till 30th December 2019. Request for refund will be processed by deducting 15% as processing fee. The refund amount will be transferred by NEFT to the payee's bank account.

Accommodation

Faculty and industry participants will be accommodated in the C V Raman Guest House at IIT Mandi.
Student participants would be accommodated in the student hostels.
Registration charges do not include accommodation. More details would be put up soon.

Contact Us

Get in touch

To know more details in relation to the theme, participation, and sponsorship, feel free to email us at: padman@iitmandi.ac.in and padmanrajan@gmail.com.

Sponsors




To obtain more details on sponsoring WiSSAP 2020 click here.

Past WiSSAPs

This is our 15th WiSSAP.

We have been privileged to have a exciting learning experiences from our past WiSSAPs. Our past invited speakers have included: Lori L. Holt, Barbara Shinn-Cunningham, Rainer Martin, T. V. Ananthapadmanabha, Ivan Tashev, Christof Faller, Emanuel Habets, Marc Swerts, Mark Hasegawa-Johnson, Yi Xu, Kalika Bali, Shrikanth (Shri) S. Narayanan, Shihab Shamma, Hynek Hermansky, Li Deng, Tanja Schultz, Tara Sainath Julia Hirschberg, Simon King, Tomoki Toda, Martin Cooke, De Liang Wang, Daniel P. W. Ellis, Bhiksha Raj, Gautham J.Mysore, V Ramasubramanian, Birger Kollmeier, B. Yegnanarayana, Walter Kellermann, Xavier Serra, Malcolm Slaney, John Makhoul, Jiri Navratil, Andreas Stolcke, Frédéric Bimbot, Alan W. Black, Jan P. H. van Santen, Richard Sproat, Kuldip Paliwal, Bastiaan Kleijn, K. Brandenburg, Steve Levinson, and T. Svendsen. Use the links below to see the details of past WiSSAPs.

Committee

For any suggestions feel free to contact our program committee at x@y.

Programme Committee
T V Sreenivas
Indian Institute of Science, Bangalore
x = tvsree
y = ece.iisc.ernet.in
Hema A. Murthy
Indian Institute of Technology, Madras
x = hema
y = cse.iitm.ac.in
Chandra Sekhar Seelamantula
Indian Institute of Science, Bangalore
x = chandrasekhar
y = iisc.ac.in
Sriram Ganapathy
Indian Institute of Science, Bangalore
x = sriramg
y = iisc.ac.in
Preeti Rao
Indian Institute of Technology, Bombay
x = prao
y = ee.iitb.ac.in
Padmanabhan Rajan
Indian Institute of Technology, Mandi
x = padman
y = iitmandi.ac.in
Dileep A D
Indian Institute of Technology, Mandi
x = addileep
y = iitmandi.ac.in
Anil Sao
Indian Institute of Technology, Mandi
x = anil
y = iitmandi.ac.in
Arnav Bhavsar
Indian Institute of Technology, Mandi
x = arnav
y = iitmandi.ac.in