2 citations · 3 across the 4 of their papers we have counts for
4 papers
NAVER LABS System Re-implementation for the IWSLT 2026 Instruction-Following Task
Anand Kamble, Aniket Tathe
We re-implement the NAVER LABS IWSLT 2025 instruction-following pipeline for the IWSLT 2026 Shared Task (constrained condition, short audio track), adapting it to the mandated comp…
Transcription and translation of videos using fine-tuned XLSR Wav2Vec2 on custom dataset and mBART
Aniket Tathe, Anand Kamble, Suyash Kumbharkar +2
This research addresses the challenge of training an ASR model for personalized voices with minimal data. Utilizing just 14 minutes of custom audio from a YouTube video, we employ…
End to end Hindi to English speech conversion using Bark, mBART and a finetuned XLSR Wav2Vec2
Aniket Tathe, Anand Kamble, Suyash Kumbharkar +2
Speech has long been a barrier to effective communication and connection, persisting as a challenge in our increasingly interconnected world. This research paper introduces a trans…
Custom Data Augmentation for low resource ASR using Bark and Retrieval-Based Voice Conversion
Anand Kamble, Aniket Tathe, Suyash Kumbharkar +2
This paper proposes two innovative methodologies to construct customized Common Voice datasets for low-resource languages like Hindi. The first methodology leverages Bark, a transf…