Следене
Srinivasa Raghavan K M
Srinivasa Raghavan K M
Research Scholar at IIIT Bangalore
Потвърден имейл адрес: iiitb.org
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Позовавания
Позовавания
Година
Multilingual and code-switching ASR challenges for low resource Indian languages
A Diwan, R Vaideeswaran, S Shah, A Singh, S Raghavan, S Khare, ...
arXiv preprint arXiv:2104.00235, 2021
732021
Semi-supervised and active-learning scenarios: Efficient acoustic model refinement for a low resource indian language
M Chellapriyadharshini, A Toffy, V Ramasubramanian
arXiv preprint arXiv:1810.06635, 2018
142018
Phoneme State Posteriorgram Features for Speech Based Automatic Classification of Speakers in Cold and Healthy Condition.
AK Suresh, SR KM, PK Ghosh
INTERSPEECH, 3462-3466, 2017
142017
Forensic examination of leaf and leaf fragments in fresh and dried conditions
RYP Bhatia, S Raghavan, KVS Rao, VN Prasad
Journal of the Forensic Science Society 13 (3), 183-190, 1973
111973
Hybrid unsupervised and supervised multitask learning for speech recognition in low resource languages
S Raghavan, K Shubham
Proc. Workshop on Machine Learning in Speech and Language Processing, 2021
72021
Model adaptation for ASR in low-resource Indian languages
A Singh, AS Mehta, J Nanavati, J Bandekar, K Basumatary, S Badiger, ...
arXiv preprint arXiv:2307.07948, 2023
52023
Approaches for multilingual phone recognition in code-switched and non-code-switched scenarios using Indian languages
KE Manjunath, SKM Raghavan, KS Rao, DB Jayagopi, ...
ACM TRANSACTIONS on Asian and low-resource language information processing …, 2021
22021
Semi-supervised learning for acoustic model retraining: Handling speech data with noisy transcript
A Madan, A Khopkar, S Nadig, KMS Raghavan, D Eledath, ...
2020 International Conference on Signal Processing and Communications (SPCOM …, 2020
22020
A comparative study on the effect of different codecs on speech recognition accuracy using various acoustic modeling techniques
S Raghavan, N Meenakshi, SK Mittal, C Yarra, A Mandal, KRP Kumar, ...
2017 Twenty-third National Conference on Communications (NCC), 1-6, 2017
22017
Differential distribution of diatom flora in a fresh water lake and its forensic application
RYP Bhatia, S Raghavan, KVS Rao
J. Crim. L. Criminology & Police Sci. 62, 574, 1971
21971
Multilingual phone recognition: comparison of traditional versus common multilingual phone-set approaches and applications in code-switching
KE Manjunath, KMS Raghavan, KS Rao, DB Jayagopi, ...
Advances in Signal Processing and Intelligent Recognition Systems: 5th …, 2020
12020
Gated Multi Encoders and Multitask Objectives for Dialectal Speech Recognition in Indian Languages
S Udupa, J Bandekar, G Deekshitha, S Kumar, PK Ghosh, S Badiger, ...
2023 IEEE Automatic Speech Recognition and Understanding Workshop (ASRU), 1-8, 2023
2023
An ASR Corpus in Chhattisgarhi, a Low Resource Indian Language
A Singh, AS Mehta, KS Ashish Khuraishi, G Deekshitha, G Date, ...
International Conference on Speech and Computer, 173-181, 2023
2023
Exact and Near Optimal Heuristics for the Parallel Batch Problem to Maximize Capacity Utilization
S Srinidhi, SNR Raghavan, R Srinivasan
2007
Scheduling Parallel Batch Machines with Incompatible Jobs
SNR Raghavan, R Srinivasan, S Srinidhi
2007
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