
Shikhar
Shikhar Vashishth is a research scientist at Google focusing on building multimodal language models for Indian languages. Prior to this, he was a postdoc at Microsoft Research and Language Technologies Institute, Carnegie Mellon University. He completed his Ph.D. from Indian Insitute of Science under the guidance of Partha Pratim Talukdar, Chiranjib Bhattacharyya, and Manaal Faruqui. He has been a recipient of the prestigious ACM India Doctoral Dissertation Award and Google PhD Fellowship. He completed his graduation from BITS Pilani, Pilani in 2016.
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Multimodal Modeling for Spoken Language Identification
Shikhar Bharadwaj
Sriram (Sri) Ganapathy
Sid Dalmia
Wei Han
Yu Zhang
Proceedings of 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2024) (2024)
LinguaMeta: Unified Metadata for Thousands of Languages
Uche Okonkwo
Emily Drummond
Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)
Self-influence Guided Data Reweighing for Language Model Pre-training
Megh Thakkar
Sarath Chandar
Sriram (Sri) Ganapathy
EMNLP (2023)
Label Aware Speech Representation Learning For Language Identification
Shikhar Bharadwaj
Sriram Ganapathy
Wei Han
Proceedings of Interspeech 2023, pp. 5351-5355
MASR: Multi-Label Aware Speech Representation
Anjali Raj
Shikhar Bharadwaj
Sriram Ganapathy
2023 Workshop on Automatic Speech Recognition and Understanding (ASRU) (2023)