Deep automatic license plate recognition system. - Vishal Jain; Zitha Sasindran; Anoop Kolar Rajagopal; Soma Biswas; Harish S. Bharadwaj; K. R. Ramakrishnan (ICVGIP, 2016)

Modeling Ornaments in Carnatic Music Signals via Wavelets. - Zitha Sasindran; Shayan Srinivasa Garani (ACSSC, 2020)

Word-level beam search decoding and correction algorithm (WLBS) for end-to-end ASR. - Zitha Sasindran; Prabhakar Venkata Tamma (AIMLSystems, 2021)

Training end-to-end speech-to-text models on mobile phones. - Zitha Sasindran; Raghavendra Rao Suresh; Pooja Rao; T. V. Prabhakar 001 (CoRR, 2021)

Hybrid-SD (HSD) : A new hybrid evaluation metric for automatic speech recognition tasks. - Zitha Sasindran; Harsha Yelchuri; Supreeth Rao; T. V. Prabhakar 001 (CoRR, 2022)

MobileASR: A resource-aware on-device learning framework for user voice personalization applications on mobile phones. - Zitha Sasindran; Harsha Yelchuri; Prabhakar Venkata Tamma; Pooja Rao (AIMLSystems, 2023)

HEVAL: A New Hybrid Evaluation Metric for Automatic Speech Recognition Tasks. - Zitha Sasindran; Harsha Yelchuri; T. V. Prabhakar 001; Supreeth Rao (ASRU, 2023)

Ed-Fed: A generic federated learning framework with resource-aware client selection for edge devices. - Zitha Sasindran; Harsha Yelchuri; T. V. Prabhakar 001 (IJCNN, 2023)

MobileASR: A resource-aware on-device personalisation framework for automatic speech recognition in mobile phones. - Zitha Sasindran; Harsha Yelchuri; Pooja Rao; T. V. Prabhakar 001 (CoRR, 2023)

SeMaScore: A new evaluation metric for automatic speech recognition tasks. - Zitha Sasindran; Harsha Yelchuri; T. Venkata Prabhakar (INTERSPEECH, 2024)

Towards a Resource-Efficient Semi-Asynchronous Federated Learning for Heterogeneous Devices. - Zitha Sasindran; Harsha Yelchuri; T. V. Prabhakar 001 (NCC, 2024)