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ORCIDChandran Savithri Anoop
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2020 – today
- 2023
[j3]Chandran Savithri Anoop
, A. G. Ramakrishnan:
Meta-Learning for Indian Languages: Performance Analysis and Improvements With Linguistic Similarity Measures. IEEE Access 11: 82050-82064 (2023)- [j2]Chandran Savithri Anoop, Angarai Ganesan Ramakrishnan:
Suitability of syllable-based modeling units for end-to-end speech recognition in Sanskrit and other Indian languages. Expert Syst. Appl. 220: 119722 (2023) - 2022
- [c4]Chandran Savithri Anoop, A. G. Ramakrishnan:
Exploring a Unified ASR for Multiple South Indian Languages Leveraging Multilingual Acoustic and Language Models. SLT 2022: 830-837 - 2021
- [j1]Amit Meghanani, Chandran Savithri Anoop, Angarai Ganesan Ramakrishnan:
Recognition of Alzheimer's Dementia From the Transcriptions of Spontaneous Speech Using fastText and CNN Models. Frontiers Comput. Sci. 3: 624558 (2021) - [c3]Chandran Savithri Anoop, Prathosh A. P., A. G. Ramakrishnan:
Unsupervised Domain Adaptation Schemes for Building ASR in Low-Resource Languages. ASRU 2021: 342-349 - [c2]Chandran Savithri Anoop, A. G. Ramakrishnan:
Investigation of Different G2P Schemes for Speech Recognition in Sanskrit. ICONIP (2) 2021: 536-547 - [c1]Amit Meghanani, Chandran Savithri Anoop, A. G. Ramakrishnan:
An Exploration of Log-Mel Spectrogram and MFCC Features for Alzheimer's Dementia Recognition from Spontaneous Speech. SLT 2021: 670-677 - [i1]Chandran Savithri Anoop, Prathosh A. P., A. G. Ramakrishnan:
Unsupervised Domain Adaptation Schemes for Building ASR in Low-resource Languages. CoRR abs/2109.05494 (2021)
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