Zobrazeno 1 - 10
of 59 938
pro vyhledávání: '"A. Tsao"'
Autor:
Chen, Tsao-Hsien, O'Brien, John
We establish a derived geometric Satake equivalence for the real group $G_{\mathbb R}=PSO(2n-1,1)$ (resp. $PE_6(F_4)$), to be called the Lorentzian Satake equivalence (resp. Octonionic Satake equivalence). By applying the real-symmetric correspondenc
Externí odkaz:
http://arxiv.org/abs/2409.03969
Emotional Voice Conversion (EVC) modifies speech emotion to enhance communication by amplifying positive cues and reducing negative ones. This complex task involves entangled factors like voice quality, speaker traits, and content. Traditional deep l
Externí odkaz:
http://arxiv.org/abs/2409.03636
Adapting pre-trained models to new tasks can exhibit varying effectiveness across datasets. Visual prompting, a state-of-the-art parameter-efficient transfer learning method, can significantly improve the performance of out-of-distribution tasks. On
Externí odkaz:
http://arxiv.org/abs/2409.01821
Transferring linguistic knowledge from a pretrained language model (PLM) to an acoustic model has been shown to greatly improve the performance of automatic speech recognition (ASR). However, due to the heterogeneous feature distributions in cross-mo
Externí odkaz:
http://arxiv.org/abs/2409.02239
Autor:
Herman, Daniel I., Walsh, Mathieu, Kreider, Molly Kate, Lordi, Noah, Tsao, Eugene J., Lind, Alexander J., Heyrich, Matthew, Combes, Joshua, Genest, Jérôme, Diddams, Scott A.
Laser spectroscopy and interferometry have provided an unparalleled view into the fundamental nature of matter and the universe through ultra-precise measurements of atomic transition frequencies and gravitational waves. Optical frequency combs have
Externí odkaz:
http://arxiv.org/abs/2408.16688
We study conditions under which the addition of variables to a regression equation can turn a previously statistically insignificant result into a significant one. Specifically, we characterize the minimum strength of association required for these v
Externí odkaz:
http://arxiv.org/abs/2408.13901
Autor:
Khan, Muhammad Salman, La Quatra, Moreno, Hung, Kuo-Hsuan, Fu, Szu-Wei, Siniscalchi, Sabato Marco, Tsao, Yu
Self-supervised representation learning (SSL) has attained SOTA results on several downstream speech tasks, but SSL-based speech enhancement (SE) solutions still lag behind. To address this issue, we exploit three main ideas: (i) Transformer-based ma
Externí odkaz:
http://arxiv.org/abs/2408.04773
Autor:
Chen, Tsao-Hsien, Yi, Lingfei
From a stable vector of a stable grading on a simple Lie algebra, Yun defined a rigid automorphic datum that encodes a epipelagic representation, and also an irregular connection on the projective line called $\theta$-connection. We show that under g
Externí odkaz:
http://arxiv.org/abs/2407.20593
Autor:
Ren, Wenze, Lin, Yi-Cheng, Chou, Huang-Cheng, Wu, Haibin, Wu, Yi-Chiao, Lee, Chi-Chun, Lee, Hung-yi, Tsao, Yu
The neural codec model reduces speech data transmission delay and serves as the foundational tokenizer for speech language models (speech LMs). Preserving emotional information in codecs is crucial for effective communication and context understandin
Externí odkaz:
http://arxiv.org/abs/2407.15458
Autor:
Desai, Saaketh, Addamane, Sadhvikas, Tsao, Jeffery Y., Brener, Igal, Dingreville, Remi, Iyer, Prasad P.
We developed an autonomous experimentation platform to accelerate interpretable scientific discovery in ultrafast nanophotonics, targeting a novel method to steer spontaneous emission from reconfigurable semiconductor metasurfaces. Controlling sponta
Externí odkaz:
http://arxiv.org/abs/2407.16083