Centre of Excellence in Signal Processing (CESP) – a report

1. Centre of Excellence in Signal Processing (CESP) – a report JayanthiSivaswamy and Suryakanth V Gangashetty

2. Broad Areas of Signal Processing Activities Audio, speech and language Medical image processing Computer vision (image and video) Wireless communications Wireless devices, Cognitive radio Machine learning for signal processing

3. Problems being addressed • Audio/speech • Recognition, synthesis for Telugu and Hindi • Emotion recognition • Language identification (12 Indian languages) • Image processing • CAD algorithm development for disease detection • Brain atlas development for Indian population • Computer vision • Sports analytics • Highlight generation from sports videos

4. Problems being addressed • Wireless communication • Coding for efficient delivery • Coding for distributed storage • IOT for India-specific applications (buildings, pollution monitoring/control) • VLSI/embedded systems • Hardware efficient solns for cognitive radio • On-chip channel decoder for Turbo codes (for 5 G)

5. Technical Progress from 2013-16: Summary Resource Creation Laboratory • Lab facility for 20 research scholars, 15 trainees • Special facilities for data acquisition and subjective studies (recording studio) Current Human resources • 10 faculty members • 20 PhD and 19 MS scholars • 7 external advisors • 2 office staff Collaborations • 7 international + 12 national MoUs signed • Samsung-Bangalore • IDIAP research institute, Switzerland. Outcomes Conduct of academic activities • 11 seminars and tutorials • 4 workshops • 1 winter school, 1 summer school • 1 conference Theses awarded • 3 PhD, 7 MS Publications • 18 Journal, 50 Conference Externally funded R&D projects: 5 National level Advisory Committee meeting held on 29th May 2014

6. Technical Progress (April to September 2016) New Faculty and Research Scholars 1 Faculty, 4 PhD, 9 MS, 1 Post doc. Academic activities Seminar Prof. José M. F. Moura (CMU) : Signal Processing on Graphs: The Data Science of Distributed & Unstructured Data Date: 22ndAugust, 2016 Summer schools Deep Learning for Computer Vision, 11 -16 July, 2016 Natural Language Proc., 20 June - 4 July, 2016 Participation in International Challenges Blizzard Challenge (Speech Synthesis), September 2016 Publications: 5 Journal, 19 Conference

7. Technical Progress (April to September 2016) Submission of new project proposals LalithaVadlamani (1 - approved) JayanthiSivaswamy (1- under review) Prasad Krishnan (1 – approved) SachinChaudhari (3 approved, 1 under review) Vineet Gandhi (1 – approved)

8. Outreach within Hyderabad Research L V Prasad Eye Institute, Continental hospital, Care hospital, Anand Eye hospital Indian Institute of Technology Birla Institute of Technology & Sciences, Pilani Jawaharlal Nehru Technological University G Narayanamma Institute of Technology & Sciences Student projects OsmaniaUniversity VNR VignanaJyothi Institute of Engineering & Technology Indur Institute of Engineering & Technology Deccan College of Engineering & Technology CMR Institute of Technology Geethanjali College of Engineering & Technology

9. Courses offered related to Signal Processing Advanced Courses Artificial Neural Networks Pattern Recognition Machine Learning Multi-rate Signal Processing Statistical Signal Processing Image Processing Time Frequency Analysis Domain-specific Courses Speech Signal Processing Speech Technology Medical Signal Processing Genome Signal Processing

10. CESP Faculty

11. Some of our publications • S. Chaudhari , M. Kosunen, S. Makinen, J. Oksanen, M. Laatta, J. Ojaniemi, V. Koivunen, J. Ryynanen, and M. Valkam. (2016) Performance Evaluation of Cyclostationary based Cooperative Sensing using Field Measurements, in IEEETrans. on Vehicular Tech. , pp. 1982-1997, April. • Chakrabarty L, Joshi GD, Chakravarty A, Raman G.V., Krishnadas SR and Sivaswamy, J. (2016) Automated Detection of Glaucoma From Topographic Features of the Optic Nerve Head in Color Fundus Photographs, Journal of Glaucoma, 25(7) pp. 590-597. • Prasad RS and Yegnanarayana B. (2016) Determination of glottal open regions by exploiting changes in the vocal tract system characteristics, Journal of Acoustical Society of America, vol. 40, no. 1, pp. 666-677. • Shrestha R and Paily R (2016) Memory-Reduced Maximum-A-Posteriori-Probability Decoding for High-Throughput Parallel-Turbo Decoders, Journal of Circuits, Systems, and Signal Processing, vol. 35, Issue: 8, pp. 2832–2854.

12. Some of our publications.. contd. • Mounika KV, Achanta S, Lakshmi H R, Gangashetty SV, and Vuppala AK. (2016) An Investigation of Deep Neural Network Architectures for Language Recognition in Indian Languages,INTERSPEECH, San Francisco. • Vadapalli A, Gangashetty AV. (2016) An Investigation of Recurrent Neural Network Architectures using Word Embeddings for Phrase Break Prediction, INTERSPEECH 2016, San Francisco. • Mehta R and Sivaswamy J. (2016) A Hybrid Approach to Tissue-based Intensity Standardization of Brain MRI Images, Proc. IEEE Int’l Symposium on Biomed. Imaging (ISBI) Prague. • Krishnan P and Lalitha V. (2016) A class of index coding problems with rate 1/3, Proc. Int’l Symposium on Information Theory (ISIT).

13. Future work Focus on signal processing solutions for India-specific problems Indian languages (recognition and synthesis) Communication in sparse and congested scenarios Set up a high performance computing facility Create an Indian population-specific data repository Outreach activities Training programs (foundation and research) Short term courses Compressive sensing, Deep learning, Biomedical signal processing, Coding for information flow networks, Signal processing for wireless communication, Internet-of-Things (IoT) National Level Advisory Committee Meeting: planned for Nov/Dec.

14. Financial Status (April to September) 2016 Expenditure and funds position (in Lakhs) Details of expenditure incurred during 01st April to 30th September 2016 (in Lakhs)

15. Financial Status as on 30th September 2016 Expenditure and funds position

16. Thank You