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pro vyhledávání: '"Ju, Chelsea"'
Automated speaker identification (SID) is a crucial step for the personalization of a wide range of speech-enabled services. Typical SID systems use a symmetric enrollment-verification framework with a single model to derive embeddings both offline f
Externí odkaz:
http://arxiv.org/abs/2401.12440
Publikováno v:
Proc. Interspeech, Sept. 2022, pp. 4800-4804
We address performance fairness for speaker verification using the adversarial reweighting (ARW) method. ARW is reformulated for speaker verification with metric learning, and shown to improve results across different subgroups of gender and national
Externí odkaz:
http://arxiv.org/abs/2207.07776
Autor:
Zhou, Yichao, Ju, Chelsea, Caufield, J. Harry, Shih, Kevin, Chen, Calvin, Sun, Yizhou, Chang, Kai-Wei, Ping, Peipei, Wang, Wei
The clinical named entity recognition (CNER) task seeks to locate and classify clinical terminologies into predefined categories, such as diagnostic procedure, disease disorder, severity, medication, medication dosage, and sign symptom. CNER facilita
Externí odkaz:
http://arxiv.org/abs/2106.12608
By implicitly recognizing a user based on his/her speech input, speaker identification enables many downstream applications, such as personalized system behavior and expedited shopping checkouts. Based on whether the speech content is constrained or
Externí odkaz:
http://arxiv.org/abs/2106.10169
Publikováno v:
In Procs of the 11th ACM BCB, pp. 1-10. 2020
The widespread of Coronavirus has led to a worldwide pandemic with a high mortality rate. Currently, the knowledge accumulated from different studies about this virus is very limited. Leveraging a wide-range of biological knowledge, such as gene onto
Externí odkaz:
http://arxiv.org/abs/2103.04283
Speaker recognition is the process of identifying a speaker based on the voice. The technology has attracted more attention with the recent increase in popularity of smart voice assistants, such as Amazon Alexa. In the past few years, various convolu
Externí odkaz:
http://arxiv.org/abs/2011.03682
Autor:
Wang, Wei, Bleakley, Brian, Ju, Chelsea, Kyi, Vincent, Tan, Patrick, Choi, Howard, Huang, Xinxin, Zhou, Yichao, Wood, Justin, Wang, Ding, Bui, Alex, Ping, Peipei
Precision medicine and health requires the characterization and phenotyping of biological systems and patient datasets using a variety of data formats. This scenario mandates the centralization of various tools and resources in a unified platform to
Externí odkaz:
http://arxiv.org/abs/1706.06087
Publikováno v:
Medical Review, Vol 1, Iss 2, Pp 114-125 (2021)
Genomic signatures like k-mers have become one of the most prominent approaches to describe genomic data. As a result, myriad real-world applications, such as the construction of de Bruijn graphs in genome assembly, have been benefited by recognizing
Externí odkaz:
https://doaj.org/article/84a5023981a340bfb7dd79686664038e
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