128 citations · 877 across the 52 of their papers we have counts for
20 papers · 1 filter
Towards Universal Speech Discrete Tokens: A Case Study for ASR and TTS
Yifan Yang, Feiyu Shen, Chenpeng Du +4
Self-supervised learning (SSL) proficiency in speech-related tasks has driven research into utilizing discrete tokens for speech tasks like recognition and translation, which offer…
VoiceFlow: Efficient Text-to-Speech with Rectified Flow Matching
Yiwei Guo, Chenpeng Du, Ziyang Ma +2
Although diffusion models in text-to-speech have become a popular choice due to their strong generative ability, the intrinsic complexity of sampling from diffusion models harms th…
Intelligent upper-limb exoskeleton integrated with soft wearable bioelectronics and deep-learning for human intention-driven strength augmentation based on sensory feedback
Jinwoo Lee, Kangkyu Kwon, Ira Soltis +14
The age and stroke-associated decline in musculoskeletal strength degrades the ability to perform daily human tasks using the upper extremities. Although there are a few examples o…
Ultra-high mobility semiconducting epitaxial graphene on silicon carbide
Jian Zhao, Peixun Ji, Yaqi Li +12
Graphene nanoelectronics potential was limited by the lack of an intrinsic bandgap[1] and attempts to tailor a bandgap either by quantum confinement or by chemical functionalizatio…
Tailoring the ferromagnetic surface potential landscape by a templating two-dimensional metal-organic porous network
Lu Lyu, Martin Anstett, Ka Man Yu +3
Two-dimensional metal-organic porous networks (2D-MOPNs) have been identified as versatile nanoarchitectures to tailor surface electronic and magnetic properties on noble metals. I…
Dividing and Conquering a BlackBox to a Mixture of Interpretable Models: Route, Interpret, Repeat
Shantanu Ghosh, Ke Yu, Forough Arabshahi +1
ML model design either starts with an interpretable model or a Blackbox and explains it post hoc. Blackbox models are flexible but difficult to explain, while interpretable models…