33 citations · 74 across the 14 of their papers we have counts for
12 papers
Investigation of the rule and test of CP violation through the measurement of decay asymmetry parameters in decays
BESIII Collaboration, M. Ablikim, M. N. Achasov +615
Using events collected with the BESIII detector, numerous and decay asymmetry parameters are simultaneously determined from the process…
Measurement of the cross sections from 2.000 to 3.080 GeV
BESIII Collaboration, M. Ablikim, M. N. Achasov +615
Based on collision data collected at center-of-mass energies from 2.000 to 3.080 GeV by the BESIII detector at the BEPCII collider, a partial wave analysis is performe…
Exploring the Integration of Speech Separation and Recognition with Self-Supervised Learning Representation
Yoshiki Masuyama, Xuankai Chang, Wangyou Zhang +5
Neural speech separation has made remarkable progress and its integration with automatic speech recognition (ASR) is an important direction towards realizing multi-speaker ASR. Thi…
Measurement of the branching fractions of the singly Cabibbo-suppressed decays and
BESIII Collaboration, M. Ablikim, M. N. Achasov +618
Based on 4.5 $\mbox{fb$^{-1}$}$ collision data collected with BESIII detector at seven energy points between 4.600 and 4.699 GeV, the branching fractions for $Λ_{c}^{+…
Coupling the Minkowski's theory with the Maxwell's equations for a mechano-driven media system for engineering electromagnetism
Zhong Lin Wang
The Minkowski's theory is regarded as the classical approach for describing the electromagnetism of uniformly moving objects by elegantly utilizing the format-invariance of the Max…
Neural Speech Enhancement with Very Low Algorithmic Latency and Complexity via Integrated Full- and Sub-Band Modeling
Zhong-Qiu Wang, Samuele Cornell, Shukjae Choi +3
We propose FSB-LSTM, a novel long short-term memory (LSTM) based architecture that integrates full- and sub-band (FSB) modeling, for single- and multi-channel speech enhancement in…
Multi-Channel Target Speaker Extraction with Refinement: The WavLab Submission to the Second Clarity Enhancement Challenge
Samuele Cornell, Zhong-Qiu Wang, Yoshiki Masuyama +3
This paper describes our submission to the Second Clarity Enhancement Challenge (CEC2), which consists of target speech enhancement for hearing-aid (HA) devices in noisy-reverberan…
TF-GridNet: Integrating Full- and Sub-Band Modeling for Speech Separation
Zhong-Qiu Wang, Samuele Cornell, Shukjae Choi +3
We propose TF-GridNet for speech separation. The model is a novel deep neural network (DNN) integrating full- and sub-band modeling in the time-frequency (T-F) domain. It stacks se…
The expanded Maxwell's equations for a mechano-driven media system that moves with acceleration
Zhong Lin Wang
In classical electrodynamics, by motion for either the observer or the media, it always naturally assumed that the relative moving velocity is a constant along a straight line (e.g…
Conditional Diffusion Probabilistic Model for Speech Enhancement
Yen-Ju Lu, Zhong-Qiu Wang, Shinji Watanabe +3
Speech enhancement is a critical component of many user-oriented audio applications, yet current systems still suffer from distorted and unnatural outputs. While generative models…
Maxwell's equations for a mechano-driven, shape-deformable, charged-media system, slowly moving at an arbitrary velocity field v(r,t)
Zhong Lin Wang
The differential form of the Maxwell's equations was first derived based on an assumption that the media are stationary, which is the foundation for describing the electro-magnetic…
Recurrent Deep Stacking Networks for Speech Recognition
Peidong Wang, Zhongqiu Wang, Deliang Wang
This paper presented our work on applying Recurrent Deep Stacking Networks (RDSNs) to Robust Automatic Speech Recognition (ASR) tasks. In the paper, we also proposed a more efficie…