We are proud to share that the paper “IndicSynth: A Large-Scale Multilingual Synthetic Speech Dataset for Low-Resource Indian Languages” from
@SBILabIIITD has received the Outstanding Paper Award at ACL 2025 (
@aclmeeting), one of the most prestigious conferences in computational linguistics and natural language processing.
IndicSynth introduces 4000 hours of synthetic speech from 989 target speakers, including 456 females and 533 males, across 12 Indian languages to facilitate multilingual audio deepfake detection and anti-spoofing research.
This recognition is the result of the dedicated work of PhD scholar Divya Sharma, who was guided by Prof.
@DrAnubhaGupta. Divya’s technical rigour, clarity of thought, and confident presentation at ACL were central to the success of this work. Her presentation at ACL and engagement during the Q&A demonstrated the calibre of a confident and capable NLP researcher. We also acknowledge the valuable contributions of undergraduate student Vijval Ekbote, whose support strengthened the project.
Congratulations to the entire team at SBILab for this important recognition and for driving impactful research in Indian language technologies.
#SBILab #IIITD #NLProc #ACL2025NLP #SpeechProcessing #MachineLearning #MultilingualAI #SyntheticSpeech #DeepfakeDetection
#ACL2025 #ResearchExcellence