Speech Recognition for Knowledge Based Computer Systems. - P. V. S. Rao; S. Krishnan 003; Pinaki Poddar; V. Ramasubramanian 001; K. Samudravijaya; A. Sen (KBCS, 1989)

Effect of ordering the codebook on the efficiency of the partial distance search algorithm for vector quantization. - Kuldip K. Paliwal; V. Ramasubramanian 001 (IEEE Trans. Commun., 1989)

An efficient approximation-elimination algorithm for fast-nearest-neighbour search (speech coding). - V. Ramasubramanian 001; Kuldip K. Paliwal (ICASSP, 1992)

An efficient approximation-elimination algorithm for fast nearest-neighbour search based on a spherical distance coordinate formulation. - V. Ramasubramanian 001; Kuldip K. Paliwal (Pattern Recognit. Lett., 1992)

Fast K-dimensional tree algorithms for nearest neighbor search with application to vector quantization encoding. - V. Ramasubramanian 001; Kuldip K. Paliwal (IEEE Trans. Signal Process., 1992)

Reducing the complexity of the LPC vector quantizer using the k-d tree search algorithm. - V. Ramasubramanian 001; Kuldip K. Paliwal (EUROSPEECH, 1997)

Fast Vector Quantization Encoding Based onK-d Tree Backtracking Search Algorithm. - V. Ramasubramanian 001; Kuldip K. Paliwal (Digit. Signal Process., 1997)

Voronoi Projection-Based Fast Nearest-Neighbor Search Algorithms: Box-Search and Mapping Table-Based Search Techniques. - V. Ramasubramanian 001; Kuldip K. Paliwal (Digit. Signal Process., 1997)

Fast nearest-neighbor search based on Voronoi projections and its application to vector quantization encoding. - V. Ramasubramanian 001; Kuldip K. Paliwal (IEEE Trans. Speech Audio Process., 1999)

Fast nearest-neighbor search algorithms based on approximation-elimination search. - V. Ramasubramanian 001; Kuldip K. Paliwal (Pattern Recognit., 2000)

Comments on "modified K-means algorithm for vector quantizer design". - Kuldip K. Paliwal; V. Ramasubramanian 001 (IEEE Trans. Image Process., 2000)

Robust parameters for automatic segmentation of speech. - A. K. V. Sai Jayram; V. Ramasubramanian 001; T. V. Sreenivas (ICASSP, 2002)

Automatic language identification using acoustic sub-word units. - A. K. V. Sai Jayram; V. Ramasubramanian 001; T. V. Sreenivas (INTERSPEECH, 2002)

Language identification using parallel sub-word recognition. - A. K. V. Sai Jayram; V. Ramasubramanian 001; Thippur V. Sreenivas (ICASSP (1), 2003)

Language identification using parallel sub-word recognition - an ergodic HMM equivalence. - V. Ramasubramanian 001; A. K. V. Sai Jayram; T. V. Sreenivas (INTERSPEECH, 2003)

Automatically derived units for segment vocoders. - V. Ramasubramanian 001; Thippur V. Sreenivas (ICASSP (1), 2004)

Automatic Language Identification Using Ergodic HMM. - S. A. SantoshKumar; V. Ramasubramanian 001 (ICASSP (1), 2005)

Stochastic pronunciation modeling by ergodic-HMM of acoustic sub-word units. - V. Ramasubramanian 001; P. Srinivas; T. V. Sreenivas (INTERSPEECH, 2005)

Text-Dependent Speaker-Recognition Using One-Pass Dynamic Programming Algorithm. - V. Ramasubramanian 001; Amitava Das; Kumar V. Praveen (ICASSP (1), 2006)

An unified unit-selection framework for ultra low bit-rate speech coding. - V. Ramasubramanian 001; D. Harish (INTERSPEECH, 2006)

Highly noise robust text-dependent speaker recognition based on hypothesized wiener filtering. - V. Ramasubramanian 001; Deepak Vijaywargiay; Kumar V. Praveen (INTERSPEECH, 2006)

Text-dependent speaker-recognition systems based on one-pass dynamic programming algorithm. - V. Ramasubramanian 001; Kumar V. Praveen; Deepak Vijaywargiay; D. Harish; S. Thiyagarajan; Amitava Das (Odyssey, 2006)

An Optimal Unit-Selection Algorithm for Ultra Low Bit-Rate Speech Coding. - V. Ramasubramanian 001; D. Harish (ICASSP (4), 2007)

Towards fast, view-invariant human action recognition. - Srikanth Cherla; Kaustubh Kulkarni; Amit A. Kale; V. Ramasubramanian 001 (CVPR Workshops, 2008)

Comparison of segment quantizers: VQ, MQ, VLSQ and unit-selection algorithms for ultra low bit-rate speech coding. - D. Harish; V. Ramasubramanian 001 (ICASSP, 2008)

Acoustic modeling by phoneme templates and modified one-pass DP decoding for continuous speech recognition. - V. Ramasubramanian 001; Kaustubh Kulkarni; Bernhard Kaemmerer (ICASSP, 2008)

Low complexity near-optimal unit-selection algorithm for ultra low bit-rate speech coding based on n-best lattice and Viterbi search. - V. Ramasubramanian 001; D. Harish (INTERSPEECH, 2008)

Speech enhancement based on hypothesized Wiener filtering. - V. Ramasubramanian 001; Deepak Vijaywargi (INTERSPEECH, 2008)

Accented Indian english ASR: Some early results. - Kaustubh Kulkarni; Sohini Sengupta; V. Ramasubramanian 001; Josef G. Bauer; Georg Stemmer (SLT, 2008)

High Performance On-line Session-adaptation for Handling Inter-session Speaker Variability in Variable-text Speaker-recognition. - S. Thiyagarajan; V. Ramasubramanian 001 (ICAPR, 2009)

Ultra low bit-rate speech coding based on unit-selection with joint spectral-residual quantization: no transmission of any residual information. - V. Ramasubramanian 001; D. Harish (INTERSPEECH, 2009)

Audio analytics by template modeling and 1-pass DP based decoding. - Srikanth Cherla; V. Ramasubramanian 001 (INTERSPEECH, 2010)

Continuous audio analytics by HMM and Viterbi decoding. - V. Ramasubramanian 001; R. Karthik; S. Thiyagarajan; Srikanth Cherla (ICASSP, 2011)

Two-class verifier framework for audio indexing. - V. Ramasubramanian 001; S. Thiyagarajan; G. Pradnya; Heiko Claussen; Justinian Rosca (ICASSP, 2013)

Spoken Document Retrieval: Sub-sequence DTW Framework and Variants. - Akshay Khatwani; Komala Pawar; Sushma Hegde; Sudha Rao; Adithya Seshasayee; V. Ramasubramanian 001 (MIKE, 2015)

Template based techniques for automatic segmentation of TTS unit database. - S. Adithya; Sunil Rao; C. Mahima; S. Vishnu; Mythri Thippareddy; V. Ramasubramanian 001 (ICASSP, 2016)

Prosodic differential for narrow-focus word-stress in speech synthesis. - Anusha Kamat; Abhishek Krishnamurthy; D. N. Krishna; V. Ramasubramanian 001 (NCC, 2017)

Hopfield net framework for audio search. - Vandana M. Ladwani; Y. Vaishnavi; R. Shreyas; B. R. Vinay Kumar; N. Harisha; S. Yogesh; P. Shivaganga; V. Ramasubramanian 001 (NCC, 2017)

Semi-supervised and Active-learning Scenarios: Efficient Acoustic Model Refinement for a Low Resource Indian Language. - Maharajan Chellapriyadharshini; Anoop Toffy; Srinivasa Raghavan K. M.; V. Ramasubramanian 001 (INTERSPEECH, 2018)

Indian Languages ASR: A Multilingual Phone Recognition Framework with IPA Based Common Phone-set, Predicted Articulatory Features and Feature fusion. - K. E. Manjunath; K. Sreenivasa Rao; Dinesh Babu Jayagopi; V. Ramasubramanian 001 (INTERSPEECH, 2018)

Multi-modal Associative Storage and Retrieval Using Hopfield Auto-associative Memory Network. - Rachna Shriwas; Prasun Joshi; Vandana M. Ladwani; V. Ramasubramanian 001 (ICANN (1), 2019)

Detection of emotional states of OCD patients in an exposure-response prevention therapy scenario. - Kaajal Gupta; Anzar Zulfiqar; Pushpa Ramu; Tilak Purohit; V. Ramasubramanian 001 (SMM, 2019)

Development and analysis of multilingual phone recognition systems using Indian languages. - K. E. Manjunath; Dinesh Babu Jayagopi; K. Sreenivasa Rao; V. Ramasubramanian 001 (Int. J. Speech Technol., 2019)

End-to-end audio-scene classification from raw audio: Multi time-frequency resolution CNN architecture for efficient representation learning. - T. Vijaya Kumar; R. Shunmuga Sundar; Tilak Purohit; V. Ramasubramanian 001 (SPCOM, 2020)

Semi-supervised learning for acoustic model retraining: Handling speech data with noisy transcript. - Abhijith Madan; Ayush Khopkar; Shreekantha Nadig; Srinivasa Raghavan K. M.; Dhanya Eledath; V. Ramasubramanian 001 (SPCOM, 2020)

Jointly learning to align and transcribe using attention-based alignment and uncertainty-to-weigh losses. - Shreekantha Nadig; Sumit Chakraborty; Anuj Shah; Chaitanay Sharma; V. Ramasubramanian 001; Sachit Rao (SPCOM, 2020)

Multi-target hybrid CTC-Attentional Decoder for joint phoneme-grapheme recognition. - Shreekantha Nadig; V. Ramasubramanian 001; Sachit Rao (SPCOM, 2020)

Component-specific temporal decomposition: application to enhanced speech coding and co-articulation analysis. - Tilak Purohit; V. Ramasubramanian 001 (SPCOM, 2020)

Few shot learning for cross-lingual isolated word recognition. - Tirthankar Banerjee; Dhanya Eledath; V. Ramasubramanian 001 (AIMLSystems, 2021)

Few-Shot learning for frame-Wise phoneme recognition: Adaptation of matching networks. - Tirthankar Banerjee; Narasimha Rao Thurlapati; V. Pavithra; S. Mahalakshmi; Dhanya Eledath; V. Ramasubramanian 001 (EUSIPCO, 2021)

End-to-end speech recognition from raw speech: Multi time-frequency resolution CNN architecture for efficient representation learning. - Dhanya Eledath; P. Inbarajan; Anurag Biradar; Sathwick Mahadeva; V. Ramasubramanian 001 (EUSIPCO, 2021)

M-ary Hopfield Neural Network Based Associative Memory Formulation: Limit-Cycle Based Sequence Storage and Retrieval. - Vandana M. Ladwani; V. Ramasubramanian 001 (ICANN (4), 2021)

Harnessing Energy of M-ary Hopfield Neural Network for Connectionist Temporal Sequence Decoding. - Vandana M. Ladwani; V. Ramasubramanian 001 (MIKE, 2021)

Approaches for Multilingual Phone Recognition in Code-switched and Non-code-switched Scenarios Using Indian Languages. - K. E. Manjunath; Srinivasa Raghavan K. M.; K. Sreenivasa Rao; Dinesh Babu Jayagopi; V. Ramasubramanian 001 (ACM Trans. Asian Low Resour. Lang. Inf. Process., 2021)

Few-shot learning for E2E speech recognition: architectural variants for support set generation. - Dhanya Eledath; Narasimha Rao Thurlapati; V. Pavithra; Tirthankar Banerjee; V. Ramasubramanian 001 (EUSIPCO, 2022)

M-ary Hopfield neural network for storage and retrieval of variable length sequences: Multi-limit cycle approach. - Vandana M. Ladwani; V. Ramasubramanian 001 (SSCI, 2022)

Connectionist Temporal Sequence Decoding: M-ary Hopfield Neural-Network with Multi-limit Cycle Formulation. - Vandana M. Ladwani; V. Ramasubramanian 001 (ICANN (5), 2023)

Correction: Trainable windows for SincNet architecture. - Prashanth H. C.; Madhav Rao; Dhanya Eledath; V. Ramasubramanian 001 (EURASIP J. Audio Speech Music. Process., 2023)

Few-Shot Learning for Low-Resource E2E ASR: Mono-, Cross- and Multi-Lingual Scenarios. - Dhanya Eledath; V. Ramasubramanian 001 (SPCOM, 2024)

Clustering by Limit-Cycles in Hopfield Neural Network. - Jhelum Das; Vandana M. Ladwani; V. Ramasubramanian 001 (AIAI (3), 2025)