Machine Listening

WiSSAP 2020

For latest updates please click here.


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, artificial intelligence and cognitive science.

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.

Sharath Adavanne

Sharath Adavanne is a doctoral researcher (graduating 2020) at the audio research group at Tampere University, Finland, as well as a research scientist at ZAPR Media Labs. In his doctoral work, he developed techniques for computational auditory scene analysis using signal processing and deep learning methods. Currently, at ZAPR, he is working in the domain of machine listening, speech recognition, and synthesis. Previously, he has also worked in the industry solving problems related to music information retrieval, audio fingerprinting, and general audio content analysis. More here.


Please find the tentative schedule below.


In Dev Bhumi, Himachal Pradesh


Indian Institute of Technology Mandi
Mandi district
Himachal Pradesh
Pin: 175005

Traveling to WiSSAP 2020
Mandi is located in the centre of Himachal Pradesh. The IIT Mandi campus is situated 15 kilometers from Mandi town. IIT has two campuses, namely the South campus (near Kamand village) and the North campus (near Salgi village.)

The venue for WiSSAP 2020 is in the North campus (near Salgi village.)

If for some reason you end up in the South campus, you can take the shuttle bus which plies between North and South campus regularly. The security post in the front of the campus will help you out. It's just a 5-minute ride.

Travel to North campus from Mandi town
Once you reach Mandi, you can either:
(a) Take a taxi and reach North campus (approx Rs 700, for 4+1 seater)
(b) Wait for the IIT shuttle bus which plies between Mandi and the North campus. The frequency of the shuttle is not very high (the bus schedule will be uploaded later.)
(c) Catch a local bus to IIT campus (may be crowded! Try only if you are feeling adventurous.)

Reaching Mandi
Please see here:

We recommend (ordered mostly by cost):
- Overnight bus from Delhi to Mandi (approx Rs 1200 per head for in HRTC Volvo bus)
- 7 hour bus ride from Chandigarh Sector-43 to Mandi (approx Rs 700 per head in HRTC Volvo bus)
- Taxi from Chandigarh airport (6 hours, approx Rs 4500 for a 4+1 seater sedan, Rs 5500 for Innova.)
- Taxi from Dharamsala airport (4 hours, approx Rs 3500. Flight options to Dharamsala are lesser than to Chandigarh.)
Coming by taxi from the airport will drop you till the North campus. Note the fares above are one-way fare.

Note: If you are coming by taxi, we suggest that you use the taxi services below. The above prices have been negotiated with them. Please book the taxi a day or two before you start your journey. Please mention "WiSSAP 2020" when you book.

Contact details:
Aastha Travels: +91 985-775-6023, +91-981-693-7407
Sanjay Travels: +91-941-840-0034

Weather in Mandi during January
Being situated in the Himalayan foothills, winter is a distinct season in Mandi. The temperatures at night can fall close to zero degrees. The days are usually sunny, though some days can be cloudy. There is no fog in Mandi.

Please bring proper warm clothing. We suggest that you carry:
- A sweater
- A jacket or blazer
- A cap covering your ears
- Shoes and socks
If you wish, you can also carry themal innerwear and gloves.

The IIT guest house has central heating and quilts in each room. The hostels would be provided with quilts, bedding and a small room heater in each room.

If you are planning to visit Manali or other popular places to see snow, snow-wear is usually available for hire at those places.

For more details about Mandi, click here.
For more places to explore, see here.


Faculty and industry participants will be accommodated in the C V Raman Guest House at IIT Mandi. The Guest House rooms have already been blocked for WiSSAP. You do not need to contact the Guest House specifically for reserving rooms.
Student participants would be accommodated in the student hostels (hostel room allotment list for male and female student participants).
Registration charges do not include accommodation.

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


We are accepting only online registration with the below fee structure. The early registration deadline is over.

Category ISCA/IEEE Members Otherwise
Student INR 4500 INR 5500
Academic Staff INR 6500 INR 7500
Industry INR 8500 INR 9500

Make online fee payment to the below PNB bank account, and fill the payment transaction ID and your details at: click here.

Bank Account Details Bank Address
Bank Account No.: 7315000100034369
Bank Account Name: IIT Mandi SRIC Extension Activities
Punjab National Bank, IIT Kamand, Mandi, HP-175005
IFSC Code: PUNB0731500
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.

Contact Us

Get in touch

To know more details in relation to the theme, participation, and sponsorship, feel free to email us at: and

IndSCA Awards 2020

IndSCA Awards 2020

We're happy to announce the formation of IndSCA: Indian Speech Communication Association. The association has been registered and is actively implementing several measures for boosting the research activity in the country in all areas related to speech/audio/language processing. The office-bearers and executive committee members of IndSCA are distinguished faculty in the area belonging to premier institutes across India. IndSCA announces, for the first time, the institution of Doctoral Dissertation Awards and Masters Project Awards at the national level. Every year, nominations will be sought from eligible candidates for the awards. The shortlisted candidates will have to present their work at the following WiSSAP (Winter School in Speech and Audio Processing). The award ceremony will also take place at WiSSAP. IndSCA Awards 2020 will be the first in the series and will consider Ph.D. theses and Masters projects "defended" during the calendar years of 2018 and 2019.

Who can nominate?
The advisor of the student or the head of the department/institute where the work was carried out. Self-nominations will not be accepted.

Who can be nominated?
Any student working in any academic institute (government/private) in India whose degrees are recognized. The student should have defended the thesis/project before December 20th of the year in which the nominations are sought. Mere submission of the thesis is not sufficient. The thesis/project must have been defended successfully as well. Since this is the first year IndSCA is calling for nominations after it has been constituted, we're considering all theses/projects defended during 2018 and 2019.

What does the Masters category comprise?
Masters category includes M.E./M.Tech., M.Tech.(Research), and M.Sc.(Eng.) by Research.

The due date for receiving the nominations is December 20, 2019. The nominations may be sent to Dr. Sriram Ganapathy (

Please find the nomination form here.

WiSSAP 2020 Flyer

To download WiSSAP 2020 flyer in pdf format please click here.


Patron sponsors

National Mission on Himalayan Studies

Platinum sponsor

Gold sponsors

Bronze sponsor

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.


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 =
Hema A. Murthy
Indian Institute of Technology, Madras
x = hema
y =
Chandra Sekhar Seelamantula
Indian Institute of Science, Bangalore
x = chandrasekhar
y =
Sriram Ganapathy
Indian Institute of Science, Bangalore
x = sriramg
y =
Preeti Rao
Indian Institute of Technology, Bombay
x = prao
y =
Padmanabhan Rajan
Indian Institute of Technology, Mandi
x = padman
y =
Dileep A D
Indian Institute of Technology, Mandi
x = addileep
y =
Anil Sao
Indian Institute of Technology, Mandi
x = anil
y =
Arnav Bhavsar
Indian Institute of Technology, Mandi
x = arnav
y =