no code implementations • 20 Aug 2024 • Hyun Jin Park, Dhruuv Agarwal, Neng Chen, Rentao Sun, Kurt Partridge, Justin Chen, Harry Zhang, Pai Zhu, Jacob Bartel, Kyle Kastner, Gary Wang, Andrew Rosenberg, Quan Wang
The keyword spotting (KWS) problem requires large amounts of real speech training data to achieve high accuracy across diverse populations.
no code implementations • 26 Jul 2024 • Hyun Jin Park, Dhruuv Agarwal, Neng Chen, Rentao Sun, Kurt Partridge, Justin Chen, Harry Zhang, Pai Zhu, Jacob Bartel, Kyle Kastner, Gary Wang, Andrew Rosenberg, Quan Wang
This paper explores the use of TTS synthesized training data for KWS (keyword spotting) task while minimizing development cost and time.
no code implementations • 4 Jan 2021 • Justin Chen, Yairon Cid-Ruiz, Marc Härkönen, Robert Krone, Anton Leykin
A primary ideal in a polynomial ring can be described by the variety it defines and a finite set of Noetherian operators, which are differential operators with polynomial coefficients.
Commutative Algebra Algebraic Geometry 14-04, 14Q15, 13N05, 65L80, 65D05
no code implementations • 8 Aug 2020 • Yixue Zhao, Justin Chen, Adriana Sejfia, Marcelo Schmitt Laser, Jie Zhang, Federica Sarro, Mark Harman, Nenad Medvidovic
UI testing is tedious and time-consuming due to the manual effort required.
Software Engineering
no code implementations • 5 Sep 2019 • Justin Chen, Christopher Eur, Greg Yang, Mengyuan Zhang
Function classes are collections of Boolean functions on a finite set, which are fundamental objects of study in theoretical computer science.
1 code implementation • 16 May 2019 • Justin Chen, Papri Dey
We introduce the DeterminantalRepresentations package for Macaulay2, which computes definite symmetric determinantal representations of real polynomials.
Algebraic Geometry Symbolic Computation 11C20, 15A15, 65F40, 15B99
1 code implementation • 7 May 2019 • Justin Chen, Edward Gan, Kexin Rong, Sahaana Suri, Peter Bailis
Domain adaptation provides a powerful set of model training techniques given domain-specific training data and supplemental data with unknown relevance.
no code implementations • 17 May 2016 • Justin Chen
In the neuroevolution literature, research has primarily focused on evolving the number of nodes, connections, and weights in artificial neural networks.