Zobrazeno 1 - 10
of 76
pro vyhledávání: '"Zhou, Xuanru"'
Autor:
Du, Linkang, Zhou, Xuanru, Chen, Min, Zhang, Chusong, Su, Zhou, Cheng, Peng, Chen, Jiming, Zhang, Zhikun
As the implementation of machine learning (ML) systems becomes more widespread, especially with the introduction of larger ML models, we perceive a spring demand for massive data. However, it inevitably causes infringement and misuse problems with th
Externí odkaz:
http://arxiv.org/abs/2410.16618
Autor:
Zhou, Xuanru, Lian, Jiachen, Cho, Cheol Jun, Liu, Jingwen, Ye, Zongli, Zhang, Jinming, Morin, Brittany, Baquirin, David, Vonk, Jet, Ezzes, Zoe, Miller, Zachary, Tempini, Maria Luisa Gorno, Anumanchipalli, Gopala
Speech dysfluency modeling is a task to detect dysfluencies in speech, such as repetition, block, insertion, replacement, and deletion. Most recent advancements treat this problem as a time-based object detection problem. In this work, we revisit thi
Externí odkaz:
http://arxiv.org/abs/2409.13582
Autor:
Zhou, Xuanru, Cho, Cheol Jun, Sharma, Ayati, Morin, Brittany, Baquirin, David, Vonk, Jet, Ezzes, Zoe, Miller, Zachary, Tee, Boon Lead, Tempini, Maria Luisa Gorno, Lian, Jiachen, Anumanchipalli, Gopala
Current de-facto dysfluency modeling methods utilize template matching algorithms which are not generalizable to out-of-domain real-world dysfluencies across languages, and are not scalable with increasing amounts of training data. To handle these pr
Externí odkaz:
http://arxiv.org/abs/2409.09621
Autor:
Lian, Jiachen, Zhou, Xuanru, Ezzes, Zoe, Vonk, Jet, Morin, Brittany, Baquirin, David, Mille, Zachary, Tempini, Maria Luisa Gorno, Anumanchipalli, Gopala Krishna
Speech dysfluency modeling is the core module for spoken language learning, and speech therapy. However, there are three challenges. First, current state-of-the-art solutions\cite{lian2023unconstrained-udm, lian-anumanchipalli-2024-towards-hudm} suff
Externí odkaz:
http://arxiv.org/abs/2408.16221
Autor:
Zhou, Xuanru, Kashyap, Anshul, Li, Steve, Sharma, Ayati, Morin, Brittany, Baquirin, David, Vonk, Jet, Ezzes, Zoe, Miller, Zachary, Tempini, Maria Luisa Gorno, Lian, Jiachen, Anumanchipalli, Gopala Krishna
Dysfluent speech detection is the bottleneck for disordered speech analysis and spoken language learning. Current state-of-the-art models are governed by rule-based systems which lack efficiency and robustness, and are sensitive to template design. I
Externí odkaz:
http://arxiv.org/abs/2408.15297
Autor:
Zheng, Shuxian, Zhou, Xuanru, Zhu, Mingxue, Cai, Xiaomei, Zhang, Xin, Liu, Chan, Tan, Zhanglu, Gao, Yuan
Publikováno v:
In Journal of Cleaner Production 1 September 2024 469
Autor:
Gao, Yuan, Chong, Chin Hao, Liu, Gengyuan, Casazza, Marco, Xiong, Xiaoping, Liu, Bojie, Zhou, Xuanru, Zhou, Xiaoyong, Li, Zheng, Ni, Weidou, Hao, Yan, Ma, Linwei
Publikováno v:
In Energy 1 June 2024 296
Autor:
Zhou, Xuanru, Cai, Wenwen, Cai, Jiajun, Xiao, Fan, Qi, Mengke, Liu, Jiawen, Zhou, Linghong, Li, Yongbao, Song, Ting
Publikováno v:
In Computers in Biology and Medicine August 2023 162
Autor:
Zheng, Shuxian, Zhou, Xuanru, Tan, Zhanglu, Liu, Chan, Hu, Han, Yuan, Hui, Peng, Shengnan, Cai, Xiaomei
Publikováno v:
In Energy 15 June 2023 273
Publikováno v:
In Resources Policy June 2023 83