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V. Ramasubramanian 0001
Person information
- affiliation: International Institute of Information Technology - Bangalore, India
- affiliation (2005 - 2013): Siemens Corporate Research & Technologies - India, Bangalore, India
- affiliation (PhD 1992): Tata Institute of Fundamental Research, Bombay, India
Other persons with the same name
- V. Ramasubramanian — disambiguation page
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2020 – today
- 2024
- [c48]Dhanya Eledath, V. Ramasubramanian:
Few-Shot Learning for Low-Resource E2E ASR: Mono-, Cross- and Multi-Lingual Scenarios. SPCOM 2024: 1-5 - 2023
- [j11]Prashanth H. C., Madhav Rao, Dhanya Eledath, V. Ramasubramanian:
Correction: Trainable windows for SincNet architecture. EURASIP J. Audio Speech Music. Process. 2023(1): 9 (2023) - [c47]Vandana M. Ladwani
, V. Ramasubramanian
Connectionist Temporal Sequence Decoding: M-ary Hopfield Neural-Network with Multi-limit Cycle Formulation. ICANN (5) 2023: 255-268 - 2022
- [c46]Dhanya Eledath, Narasimha Rao Thurlapati, V. Pavithra, Tirthankar Banerjee, V. Ramasubramanian:
Few-shot learning for E2E speech recognition: architectural variants for support set generation. EUSIPCO 2022: 444-448 - [c45]Vandana M. Ladwani
M-ary Hopfield neural network for storage and retrieval of variable length sequences: Multi-limit cycle approach. SSCI 2022: 436-441 - 2021
- [j10]K. E. Manjunath, Srinivasa Raghavan K. M., K. Sreenivasa Rao, Dinesh Babu Jayagopi, V. Ramasubramanian:
Approaches for Multilingual Phone Recognition in Code-switched and Non-code-switched Scenarios Using Indian Languages. ACM Trans. Asian Low Resour. Lang. Inf. Process. 20(4): 55:1-55:19 (2021) - [c44]Tirthankar Banerjee
Few shot learning for cross-lingual isolated word recognition. AIMLSystems 2021: 15:1-15:7 - [c43]Tirthankar Banerjee
Few-Shot learning for frame-Wise phoneme recognition: Adaptation of matching networks. EUSIPCO 2021: 516-520 - [c42]Dhanya Eledath, P. Inbarajan, Anurag Biradar, Sathwick Mahadeva, V. Ramasubramanian:
End-to-end speech recognition from raw speech: Multi time-frequency resolution CNN architecture for efficient representation learning. EUSIPCO 2021: 536-540 - [c41]Vandana M. Ladwani
M-ary Hopfield Neural Network Based Associative Memory Formulation: Limit-Cycle Based Sequence Storage and Retrieval. ICANN (4) 2021: 420-432 - [c40]Vandana M. Ladwani
Harnessing Energy of M-ary Hopfield Neural Network for Connectionist Temporal Sequence Decoding. MIKE 2021: 13-23 - 2020
- [c39]T. Vijaya Kumar, R. Shunmuga Sundar, Tilak Purohit, V. Ramasubramanian
End-to-end audio-scene classification from raw audio: Multi time-frequency resolution CNN architecture for efficient representation learning. SPCOM 2020: 1-5 - [c38]Abhijith Madan, Ayush Khopkar, Shreekantha Nadig, Srinivasa Raghavan K. M., Dhanya Eledath, V. Ramasubramanian
Semi-supervised learning for acoustic model retraining: Handling speech data with noisy transcript. SPCOM 2020: 1-5 - [c37]Shreekantha Nadig, Sumit Chakraborty, Anuj Shah, Chaitanay Sharma, V. Ramasubramanian
Jointly learning to align and transcribe using attention-based alignment and uncertainty-to-weigh losses. SPCOM 2020: 1-5 - [c36]Shreekantha Nadig, V. Ramasubramanian
Multi-target hybrid CTC-Attentional Decoder for joint phoneme-grapheme recognition. SPCOM 2020: 1-5 - [c35]Tilak Purohit, V. Ramasubramanian
Component-specific temporal decomposition: application to enhanced speech coding and co-articulation analysis. SPCOM 2020: 1-5
2010 – 2019
- 2019
- [j9]K. E. Manjunath, Dinesh Babu Jayagopi
Development and analysis of multilingual phone recognition systems using Indian languages. Int. J. Speech Technol. 22(1): 157-168 (2019) - [c34]Rachna Shriwas, Prasun Joshi, Vandana M. Ladwani
Multi-modal Associative Storage and Retrieval Using Hopfield Auto-associative Memory Network. ICANN (1) 2019: 57-75 - [c33]Kaajal Gupta, Anzar Zulfiqar, Pushpa Ramu, Tilak Purohit, V. Ramasubramanian:
Detection of emotional states of OCD patients in an exposure-response prevention therapy scenario. SMM 2019 - 2018
- [c32]K. E. Manjunath, K. Sreenivasa Rao, Dinesh Babu Jayagopi
Indian Languages ASR: A Multilingual Phone Recognition Framework with IPA Based Common Phone-set, Predicted Articulatory Features and Feature fusion. INTERSPEECH 2018: 1016-1020 - [c31]Maharajan Chellapriyadharshini, Anoop Toffy, Srinivasa Raghavan K. M., V. Ramasubramanian
Semi-supervised and Active-learning Scenarios: Efficient Acoustic Model Refinement for a Low Resource Indian Language. INTERSPEECH 2018: 1041-1045 - [i1]Maharajan Chellapriyadharshini, Anoop Toffy, Srinivasa Raghavan K. M., V. Ramasubramanian:
Semi-supervised and Active-learning Scenarios: Efficient Acoustic Model Refinement for a Low Resource Indian Language. CoRR abs/1810.06635 (2018) - 2017
- [c30]Anusha Kamat, Abhishek Krishnamurthy, D. N. Krishna, V. Ramasubramanian
Prosodic differential for narrow-focus word-stress in speech synthesis. NCC 2017: 1-6 - [c29]Vandana M. Ladwani
Hopfield net framework for audio search. NCC 2017: 1-6 - 2016
- [c28]S. Adithya, Sunil Rao, C. Mahima, S. Vishnu, Mythri Thippareddy, V. Ramasubramanian
Template based techniques for automatic segmentation of TTS unit database. ICASSP 2016: 5605-5609 - 2015
- [c27]Akshay Khatwani, Komala Pawar, Sushma Hegde, Sudha Rao, Adithya Seshasayee, V. Ramasubramanian
Spoken Document Retrieval: Sub-sequence DTW Framework and Variants. MIKE 2015: 297-311 - 2013
- [c26]V. Ramasubramanian
Two-class verifier framework for audio indexing. ICASSP 2013: 838-842 - 2011
- [c25]V. Ramasubramanian
Continuous audio analytics by HMM and Viterbi decoding. ICASSP 2011: 2396-2399 - 2010
- [c24]Srikanth Cherla, V. Ramasubramanian:
Audio analytics by template modeling and 1-pass DP based decoding. INTERSPEECH 2010: 2230-2233
2000 – 2009
- 2009
- [c23]S. Thiyagarajan, V. Ramasubramanian
High Performance On-line Session-adaptation for Handling Inter-session Speaker Variability in Variable-text Speaker-recognition. ICAPR 2009: 163-166 - [c22]V. Ramasubramanian, D. Harish:
Ultra low bit-rate speech coding based on unit-selection with joint spectral-residual quantization: no transmission of any residual information. INTERSPEECH 2009: 2615-2618 - 2008
- [c21]Srikanth Cherla, Kaustubh Kulkarni, Amit A. Kale, V. Ramasubramanian
Towards fast, view-invariant human action recognition. CVPR Workshops 2008: 1-8 - [c20]V. Ramasubramanian
Acoustic modeling by phoneme templates and modified one-pass DP decoding for continuous speech recognition. ICASSP 2008: 4105-4108 - [c19]D. Harish, V. Ramasubramanian
Comparison of segment quantizers: VQ, MQ, VLSQ and unit-selection algorithms for ultra low bit-rate speech coding. ICASSP 2008: 4773-4776 - [c18]V. Ramasubramanian, D. Harish:
Low complexity near-optimal unit-selection algorithm for ultra low bit-rate speech coding based on n-best lattice and Viterbi search. INTERSPEECH 2008: 44 - [c17]V. Ramasubramanian, Deepak Vijaywargi:
Speech enhancement based on hypothesized Wiener filtering. INTERSPEECH 2008: 167-170 - [c16]Kaustubh Kulkarni, Sohini Sengupta, V. Ramasubramanian
Accented Indian english ASR: Some early results. SLT 2008: 225-228 - 2007
- [c15]V. Ramasubramanian
An Optimal Unit-Selection Algorithm for Ultra Low Bit-Rate Speech Coding. ICASSP (4) 2007: 541-544 - 2006
- [c14]V. Ramasubramanian, Amitava Das, Kumar V. Praveen:
Text-Dependent Speaker-Recognition Using One-Pass Dynamic Programming Algorithm. ICASSP (1) 2006: 901-904 - [c13]V. Ramasubramanian, D. Harish:
An unified unit-selection framework for ultra low bit-rate speech coding. INTERSPEECH 2006 - [c12]V. Ramasubramanian, Deepak Vijaywargiay, Kumar V. Praveen:
Highly noise robust text-dependent speaker recognition based on hypothesized wiener filtering. INTERSPEECH 2006 - [c11]V. Ramasubramanian
Text-dependent speaker-recognition systems based on one-pass dynamic programming algorithm. Odyssey 2006: 1-8 - 2005
- [c10]S. A. SantoshKumar, V. Ramasubramanian
Automatic Language Identification Using Ergodic HMM. ICASSP (1) 2005: 609-612 - [c9]V. Ramasubramanian, P. Srinivas, T. V. Sreenivas:
Stochastic pronunciation modeling by ergodic-HMM of acoustic sub-word units. INTERSPEECH 2005: 1361-1364 - 2004
- [c8]V. Ramasubramanian, Thippur V. Sreenivas:
Automatically derived units for segment vocoders. ICASSP (1) 2004: 473-476 - 2003
- [c7]A. K. V. Sai Jayram, V. Ramasubramanian, Thippur V. Sreenivas:
Language identification using parallel sub-word recognition. ICASSP (1) 2003: 32-35 - [c6]V. Ramasubramanian, A. K. V. Sai Jayram, T. V. Sreenivas:
Language identification using parallel sub-word recognition - an ergodic HMM equivalence. INTERSPEECH 2003: 1357-1360 - 2002
- [c5]A. K. V. Sai Jayram, V. Ramasubramanian, T. V. Sreenivas:
Robust parameters for automatic segmentation of speech. ICASSP 2002: 513-514 - [c4]A. K. V. Sai Jayram, V. Ramasubramanian, T. V. Sreenivas:
Automatic language identification using acoustic sub-word units. INTERSPEECH 2002: 81-84 - 2000
- [j8]V. Ramasubramanian
Fast nearest-neighbor search algorithms based on approximation-elimination search. Pattern Recognit. 33(9): 1497-1510 (2000) - [j7]Kuldip K. Paliwal
Comments on "modified K-means algorithm for vector quantizer design". IEEE Trans. Image Process. 9(11): 1964-1967 (2000)
1990 – 1999
- 1999
- [j6]V. Ramasubramanian
Fast nearest-neighbor search based on Voronoi projections and its application to vector quantization encoding. IEEE Trans. Speech Audio Process. 7(2): 221-226 (1999) - 1997
- [j5]V. Ramasubramanian
Fast Vector Quantization Encoding Based onK-d Tree Backtracking Search Algorithm. Digit. Signal Process. 7(3): 163-187 (1997) - [j4]V. Ramasubramanian
Voronoi Projection-Based Fast Nearest-Neighbor Search Algorithms: Box-Search and Mapping Table-Based Search Techniques. Digit. Signal Process. 7(4): 260-277 (1997) - [c3]V. Ramasubramanian, Kuldip K. Paliwal:
Reducing the complexity of the LPC vector quantizer using the k-d tree search algorithm. EUROSPEECH 1997: 1255-1258 - 1992
- [j3]V. Ramasubramanian
An efficient approximation-elimination algorithm for fast nearest-neighbour search based on a spherical distance coordinate formulation. Pattern Recognit. Lett. 13(7): 471-480 (1992) - [j2]V. Ramasubramanian
Fast K-dimensional tree algorithms for nearest neighbor search with application to vector quantization encoding. IEEE Trans. Signal Process. 40(3): 518-531 (1992) - [c2]V. Ramasubramanian
An efficient approximation-elimination algorithm for fast-nearest-neighbour search (speech coding). ICASSP 1992: 89-92
1980 – 1989
- 1989
- [j1]Kuldip K. Paliwal
Effect of ordering the codebook on the efficiency of the partial distance search algorithm for vector quantization. IEEE Trans. Commun. 37(5): 538-540 (1989) - [c1]P. V. S. Rao, S. Krishnan, Pinaki Poddar, V. Ramasubramanian
Speech Recognition for Knowledge Based Computer Systems. KBCS 1989: 532-541
Coauthor Index
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