Harshavardhan Sundar
Harshavardhan Sundar
Applied Scientist at, Inc., Cambridge, MA
Bestätigte E-Mail-Adresse bei
Zitiert von
Zitiert von
Raw waveform based end-to-end deep convolutional network for spatial localization of multiple acoustic sources
H Sundar, W Wang, M Sun, C Wang
ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and …, 2020
TDOA-based multiple acoustic source localization without association ambiguity
H Sundar, TV Sreenivas, CS Seelamantula
IEEE/ACM Transactions on Audio, Speech, and Language Processing 26 (11 …, 2018
A mixture model approach for formant tracking and the robustness of student's-t distribution
H Sundar, C Seelamantula, TV Sreenivas
IEEE, 2012
Transcription and recognition of syllable based percussion patterns: The case of Beijing Opera
A Srinivasamurthy, R Caro Repetto, H Sundar, X Serra
Proceedings of the 15th Conference of/nthe International Society for Music …, 2014
Keyword spotting in multi-player voice driven games for children
H Sundar, JF Lehman, R Singh
Sixteenth Annual Conference of the International Speech Communication …, 2015
Neural Response Selectivity to Natural Sounds in the Bat Midbrain
A Salles, S Park, S Harshavardhan, S Macíasa, M Elhilali, CF Moss
Neuroscience 434, 200--211, 2020
Event specific attention for polyphonic sound event detection
H Sundar, M Sun, C Wang
Identification of Active Sources in Single-Channel Convolutive Mixtures Using Known Source Models
H Sundar, T Sreenivas, W Kellermann
IEEE Signal Processing Letters 20 (2), 153 - 156, 2013
Subband analysis of linear prediction residual for the estimation of glottal closure instants
RL Vikram, KVV Girish, S Harshavardhan, AG Ramakrishnan, ...
2014 IEEE International Conference on Acoustics, Speech and Signal …, 2014
TDE sign based homing algorithm for sound source tracking using a Y-shaped microphone array
TM Sreejith, PK Joshin, S Harshavardhan, TV Sreenivas
2015 23rd European Signal Processing Conference (EUSIPCO), 1202-1206, 2015
Robust mixture modeling using t-distribution: application to speaker ID.
S Harshavardhan, TV Sreenivas
INTERSPEECH, 2750-2753, 2010
Student's-t mixture model based multi-instrument recognition in polyphonic music
H Sundar, HG Ranjani, TV Sreenivas
2013 IEEE International Conference on Acoustics, Speech and Signal …, 2013
Impact of acoustic event tagging on scene classification in a multi-task learning framework
R Parikh, H Sundar, M Sun, C Wang, S Matsoukas
arXiv preprint arXiv:2206.13476, 2022
Acoustic event detection
H Sundar, S Laad, J Bao, M Sun, C Wang, C Chan, C Erbas, M Jourdain, ...
US Patent 11,783,850, 2023
Who spoke What and Where? A Latent Variable Framework for Acoustic Scene Analysis
H Sundar
Indian Institute of Science, Bangalore, India, 2016
Reverberation robust TDOA estimation using convex region prior
H Sundar, TV Sreenivas
2016 International Conference on Signal Processing and Communications (SPCOM …, 2016
Who spoke what? A latent variable framework for the joint decoding of multiple speakers and their keywords
H Sundar, TV Sreenivas
2016 International Conference on Signal Processing and Communications (SPCOM …, 2016
Reverberation-Robust One-Bit TDOA Based Moving Source Localization for Automatic Camera Steering
H Sundar, M Gokul Deepak, TV Sreenivas, CS Seelamantula
Interspeech 2016, 3364-3368, 2016
A multimodal density function estimation approach to formant tracking.
S Harshavardhan, CS Seelamantula, TV Sreenivas
INTERSPEECH, 2410-2413, 2010
Language Understanding and Computational Semantics Cross-Language Neural Dialog State Tracker for Large Ontologies Using Hierarchical Attention.................................
H Sundar, TV Sreenivas, CS Seelamantula, S Lin, MB Cöteli, O Olgun, ...
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