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ORCIDSrinivasa Raghavan K. M.
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2020 – today
- 2023
[c7]Sathvik Udupa, Jesuraja Bandekar, Deekshitha G, Saurabh Kumar, Prasanta Kumar Ghosh, Sandhya Badiger, Abhayjeet Singh, Savitha Murthy, Priyanka Pai, Srinivasa Raghavan K. M., Raoul Nanavati:
Gated Multi Encoders and Multitask Objectives for Dialectal Speech Recognition in Indian Languages. ASRU 2023: 1-8- [c6]Abhayjeet Singh, Arjun Singh Mehta, Ashish Khuraishi K. S, Deekshitha G, Gauri Date, Jai Nanavati, Jesuraja Bandekar, Karnalius Basumatary, Karthika P, Sandhya Badiger, Sathvik Udupa, Saurabh Kumar, Prasanta Kumar Ghosh, Prashanthi V, Priyanka Pai, Raoul Nanavati, Sai Praneeth Reddy Mora, Srinivasa Raghavan K. M.:
An ASR Corpus in Chhattisgarhi, a Low Resource Indian Language. SPECOM (2) 2023: 173-181 - [i3]Abhayjeet Singh, Arjun Singh Mehta, Ashish Khuraishi K. S, Deekshitha G, Gauri Date, Jai Nanavati, Jesuraja Bandekar, Karnalius Basumatary, Karthika P, Sandhya Badiger, Sathvik Udupa, Saurabh Kumar, Savitha, Prasanta Kumar Ghosh, Prashanthi V, Priyanka Pai, Raoul Nanavati, Rohan Saxena, Sai Praneeth Reddy Mora, Srinivasa Raghavan K. M.:
Model Adaptation for ASR in low-resource Indian Languages. CoRR abs/2307.07948 (2023) - 2021
- [j1]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) - [c5]Anuj Diwan, Rakesh Vaideeswaran, Sanket Shah, Ankita Singh, Srinivasa Raghavan K. M., Shreya Khare, Vinit Unni, Saurabh Vyas, Akash Rajpuria, Chiranjeevi Yarra
, Ashish R. Mittal, Prasanta Kumar Ghosh, Preethi Jyothi, Kalika Bali, Vivek Seshadri, Sunayana Sitaram, Samarth Bharadwaj, Jai Nanavati, Raoul Nanavati, Karthik Sankaranarayanan:
MUCS 2021: Multilingual and Code-Switching ASR Challenges for Low Resource Indian Languages. Interspeech 2021: 2446-2450 - [i2]Anuj Diwan, Rakesh Vaideeswaran, Sanket Shah, Ankita Singh, Srinivasa Raghavan K. M., Shreya Khare, Vinit Unni, Saurabh Vyas, Akash Rajpuria, Chiranjeevi Yarra, Ashish R. Mittal, Prasanta Kumar Ghosh, Preethi Jyothi, Kalika Bali, Vivek Seshadri, Sunayana Sitaram, Samarth Bharadwaj, Jai Nanavati, Raoul Nanavati, Karthik Sankaranarayanan, Tejaswi Seeram, Basil Abraham:
Multilingual and code-switching ASR challenges for low resource Indian languages. CoRR abs/2104.00235 (2021) - 2020
- [c4]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
2010 – 2019
- 2018
- [c3]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
- [c2]Akshay Kalkunte Suresh, Srinivasa Raghavan K. M., Prasanta Kumar Ghosh:
Phoneme State Posteriorgram Features for Speech Based Automatic Classification of Speakers in Cold and Healthy Condition. INTERSPEECH 2017: 3462-3466 - [c1]Srinivasa Raghavan K. M., Nisha Meenakshi, Sanjeev Kumar Mittal, Chiranjeevi Yarra, Anupam Mandal, K. R. Prasanna Kumar, Prasanta Kumar Ghosh:
A comparative study on the effect of different codecs on speech recognition accuracy using various acoustic modeling techniques. NCC 2017: 1-6
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