3 citations · 5 across the 10 of their papers we have counts for
10 papers
SPARCLE: SPeaker-aware Aligned Representations via Contrastive Language Embeddings
Priyam Mazumdar, Yurii Halychanskyi, Steven Guo +2
Recent advances in speech synthesis have shifted from phoneme representations to direct grapheme modeling. While phonemes address the one-to-many mapping between text and acoustics…
Accent Conversion: A Problem-Driven Survey of Sociolinguistic and Technical Constraints
Yurii Halychanskyi, Jianfeng Steven Guo, Volodymyr Kindratenko
Accent conversion has rapidly progressed alongside growing interest in improving global cross-cultural communication. This survey presents an overview of the evolution of accent co…
Few-Shot Synthetic Accented Speech for ASR Fine-Tuning: What Helps and When?
Yurii Halychanskyi, Nimet Beyza Bozdag, Mark Hasegawa-Johnson +2
Synthetic accented speech is a promising way to improve automatic speech recognition (ASR) when real accented recordings are scarce. We ask what makes such data useful for ASR fine…
FAC-FACodec: Controllable Zero-Shot Foreign Accent Conversion with Factorized Speech Codec
Yurii Halychanskyi, Cameron Churchwell, Yutong Wen +1
Previous accent conversion (AC) methods, including foreign accent conversion (FAC), lack explicit control over the degree of modification. Because accent modification can alter the…
Neural reservoir control of a soft bio-hybrid arm
Noel Naughton, Arman Tekinalp, Keshav Shivam +3
A long-standing engineering problem, the control of soft robots is difficult because of their highly non-linear, heterogeneous, anisotropic, and distributed nature. Here, bridging…
Evidential Deep Learning for Uncertainty Quantification and Out-of-Distribution Detection in Jet Identification using Deep Neural Networks
Ayush Khot, Xiwei Wang, Avik Roy +2
Current methods commonly used for uncertainty quantification (UQ) in deep learning (DL) models utilize Bayesian methods which are computationally expensive and time-consuming. In t…