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Priyanshi Shah
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2020 – today
- 2024
- [c2]Ashrya Agrawal, Priyanshi Shah, Sourabh Prakash:
Layered insights into Pyramid feature fusion architecture for SSL. Tiny Papers @ ICLR 2024 - 2023
- [i8]Sourabh Prakash, Priyanshi Shah, Ashrya Agrawal:
Exploiting CNNs for Semantic Segmentation with Pascal VOC. CoRR abs/2304.13216 (2023) - [i7]Ashrya Agrawal, Priyanshi Shah, Sourabh Prakash:
Pixel to policy: DQN Encoders for within & cross-game reinforcement learning. CoRR abs/2308.00318 (2023) - 2022
- [i6]Harveen Singh Chadha, Anirudh Gupta, Priyanshi Shah, Neeraj Chhimwal, Ankur Dhuriya, Rishabh Gaur, Vivek Raghavan:
Vakyansh: ASR Toolkit for Low Resource Indic languages. CoRR abs/2203.16512 (2022) - [i5]Harveen Singh Chadha, Priyanshi Shah, Ankur Dhuriya, Neeraj Chhimwal, Anirudh Gupta, Vivek Raghavan:
Code Switched and Code Mixed Speech Recognition for Indic languages. CoRR abs/2203.16578 (2022) - [i4]Anirudh Gupta, Rishabh Gaur, Ankur Dhuriya, Harveen Singh Chadha, Neeraj Chhimwal, Priyanshi Shah, Vivek Raghavan:
Effectiveness of text to speech pseudo labels for forced alignment and cross lingual pretrained models for low resource speech recognition. CoRR abs/2203.16823 (2022) - [i3]Anirudh Gupta, Neeraj Chhimwal, Ankur Dhuriya, Rishabh Gaur, Priyanshi Shah, Harveen Singh Chadha, Vivek Raghavan:
indic-punct: An automatic punctuation restoration and inverse text normalization framework for Indic languages. CoRR abs/2203.16825 (2022) - [i2]Neeraj Chhimwal, Anirudh Gupta, Rishabh Gaur, Harveen Singh Chadha, Priyanshi Shah, Ankur Dhuriya, Vivek Raghavan:
Speaker Recognition in the Wild. CoRR abs/2205.02475 (2022) - 2021
- [i1]Anirudh Gupta, Harveen Singh Chadha, Priyanshi Shah, Neeraj Chimmwal, Ankur Dhuriya, Rishabh Gaur, Vivek Raghavan:
CLSRIL-23: Cross Lingual Speech Representations for Indic Languages. CoRR abs/2107.07402 (2021) - 2020
- [c1]Priyanshi Shah, Ziad Kobti:
Multimodal fake news detection using a Cultural Algorithm with situational and normative knowledge. CEC 2020: 1-7
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last updated on 2024-07-27 17:29 CEST by the dblp team
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