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Akademický článek
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Autor:
Bijlsma, Joost
Publikováno v:
Skipr; Jan2023, Vol. 16 Issue 1, p8-14, 7p
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
The coherent conversion of a muon to an electron in a nuclear field has been one of the most powerful methods to search for Charged Lepton Flavor Violation (CLFV). Recent advancements have significantly enhanced the sensitivity of $\mu \rightarrow e$
Externí odkaz:
http://arxiv.org/abs/2409.02878
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
Correspondence analysis (CA) is a popular technique to visualize the relationship between two categorical variables. CA uses the data from a two-way contingency table and is affected by the presence of outliers. The supplementary points method is a p
Externí odkaz:
http://arxiv.org/abs/2404.17380
Akademický článek
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One of the main applications of resurgence in physics is the decoding of nonperturbative effects through large order relations. These relations connect perturbative asymptotic expansions of observables to expansions around other saddle points. Togeth
Externí odkaz:
http://arxiv.org/abs/2312.12497