Srinivasa Raghavan K. M.

According to our database, Srinivasa Raghavan K. M. authored at least 10 papers between 2017 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Model Adaptation for ASR in low-resource Indian Languages.

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.

CoRR, 2023

An ASR Corpus in Chhattisgarhi, a Low Resource Indian Language.

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.

Proceedings of the Speech and Computer - 25th International Conference, 2023

Gated Multi Encoders and Multitask Objectives for Dialectal Speech Recognition in Indian Languages.

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

Proceedings of the IEEE Automatic Speech Recognition and Understanding Workshop, 2023

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

ACM Trans. Asian Low Resour. Lang. Inf. Process., 2021

Multilingual and code-switching ASR challenges for low resource Indian languages.

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

CoRR, 2021

MUCS 2021: Multilingual and Code-Switching ASR Challenges for Low Resource Indian Languages.

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

Proceedings of the Interspeech 2021, 22nd Annual Conference of the International Speech Communication Association, Brno, Czechia, 30 August, 2021

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

Proceedings of the International Conference on Signal Processing and Communications, 2020

2018

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

Proceedings of the Interspeech 2018, 2018

2017

A comparative study on the effect of different codecs on speech recognition accuracy using various acoustic modeling techniques.

Srinivasa Raghavan K. M., Nisha Meenakshi, Sanjeev Kumar Mittal, Chiranjeevi Yarra, Anupam Mandal, K. R. Prasanna Kumar, Prasanta Kumar Ghosh

Proceedings of the Twenty-third National Conference on Communications, 2017

Phoneme State Posteriorgram Features for Speech Based Automatic Classification of Speakers in Cold and Healthy Condition.

Akshay Kalkunte Suresh, Srinivasa Raghavan K. M., Prasanta Kumar Ghosh

Proceedings of the Interspeech 2017, 2017