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Venkata Subramanian Viraraghavan
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2020 – today
- 2021
- [c14]Rahul Dasharath Gavas, Venkata Subramanian Viraraghavan, Ramesh Kumar Ramakrishnan:
A Novel Optimization Algorithm Leveraging a Three-Dimensional Approach of Periscopic, Pheromonic and Fractal Search. EMBC 2021: 550-553 - [c13]Venkata Subramanian Viraraghavan, Tince Varghese, Rahul Dasharath Gavas, Mithun B. Sheshachala, Ramesh K. Ramakrishnan, P. Balamuralidhar, Arpan Pal
:
Affective response to tunes synthesized with musical pitch curves. EMBC 2021: 2046-2049 - 2020
- [c12]Rahul Gavas, Mithun B. Sheshachala, Debatri Chatterjee, Ramesh Kumar Ramakrishnan, Venkata Subramanian Viraraghavan, Achanna Anil Kumar, M. Girish Chandra:
Blink rate variability: a marker of sustained attention during a visual task. UbiComp/ISWC Adjunct 2020: 450-455 - [c11]Venkata Subramanian Viraraghavan, Arpan Pal
, Hema A. Murthy, Rangarajan Aravind:
State-Based Transcription of Components of Carnatic Music. ICASSP 2020: 811-815 - [c10]Rahul Gavas, Dibyanshu Jaiswal
, Debatri Chatterjee, Venkata Subramanian Viraraghavan, Ramesh Kumar Ramakrishnan:
Multivariate Variational Mode Decomposition based approach for Blink Removal from EEG Signal. PerCom Workshops 2020: 1-6 - [c9]Ramesh Kumar Ramakrishnan, Rahul D. Gavas, Venkata Subramanian Viraraghavan, Lalit Kumar Hissaria, Arpan Pal
, P. Balamuralidhar:
Monitoring The Early Physiological Effects of Fitness Regimes Using PPG Signals. PerCom Workshops 2020: 1-5
2010 – 2019
- 2019
- [j1]Jilt Sebastian
, Mari Ganesh Kumar
, Venkata Subramanian Viraraghavan, Mriganka Sur
, Hema A. Murthy:
Spike Estimation From Fluorescence Signals Using High-Resolution Property of Group Delay. IEEE Trans. Signal Process. 67(11): 2923-2936 (2019) - [c8]Rahul D. Gavas, Deepan Das, Tanuka Bhattacharjee, Mithun B. Sheshachala, Lalit K. Hissaria, Ramu Reddy Vempada, Venkata Subramanian Viraraghavan, Anirban Dutta Choudhury, Kartik Muralidharan, Ramesh K. Ramakrishnan, P. Balamuralidhar, Arpan Pal
:
A Sensor-enabled Digital Trier Social Stress Test in an Enterprise Context. EMBC 2019: 1321-1325 - [c7]Gauri Deshpande, Venkata Subramanian Viraraghavan, Mayuri Duggirala, Sachin Patel:
Detecting emotional valence using time-domain analysis of speech signals. EMBC 2019: 3605-3608 - 2018
- [c6]Gauri Deshpande, Venkata Subramanian Viraraghavan, Mayuri Duggirala, Ramu Reddy Vempada, Sachin Patel:
Comparing Manual and Machine Annotations of Emotions in Non-acted Speech. EMBC 2018: 4241-4244 - [c5]V. Ramu Reddy, Venkata Subramanian Viraraghavan:
EmoSense: Automatically Sensing Emotions From Speech By Multi-way Classification. EMBC 2018: 4987-4990 - [c4]Venkata Subramanian Viraraghavan, Rangarajan Aravind, Hema A. Murthy:
Precision of Sung Notes in Carnatic Music. ISMIR 2018: 499-505 - 2017
- [c3]Venkata Subramanian Viraraghavan, Rangarajan Aravind, Hema A. Murthy:
A Statistical Analysis of Gamakas in Carnatic Music. ISMIR 2017: 243-249 - [c2]Gauri Deshpande, Venkata Subramanian Viraraghavan, Mayuri Duggirala, V. Ramu Reddy, Sachin Patel:
Empirical evaluation of emotion classification accuracy for non-acted speech. MMSP 2017: 1-6 - [c1]P. V. Krishnaraj Sekhar, Venkata Subramanian Viraraghavan, Sridharan Sankaran, Hema A. Murthy:
An approach to transcription of varnams in Carnatic music using hidden Markov models. NCC 2017: 1-6 - [i1]Venkata Subramanian Viraraghavan, Arpan Pal, Rangarajan Aravind, Hema A. Murthy:
Non-uniform time-scaling of Carnatic music transients. CoRR abs/1711.02318 (2017)
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