Grid sentence is commonly used for studying the Lombard effect and
Norma...
The Lombard effect refers to individuals' unconscious modulation of voca...
This study investigates the Lombard effect, where individuals adapt thei...
Convolutional neural networks (CNN) and Transformer have wildly succeede...
Acoustic echo cancellation (AEC) aims to remove interference signals whi...
Obstructive Sleep Apnea-Hypopnea Syndrome (OSAHS) is a chronic breathing...
Recently, speech codecs based on neural networks have proven to perform
...
This paper studies minimax rates of convergence for nonparametric
locati...
Research on email anomaly detection has typically relied on specially
pr...
In recent years, deep network pruning has attracted significant attentio...
Attention mechanisms, such as local and non-local attention, play a
fund...
Generalized additive partial linear models (GAPLMs) are appealing for mo...
Monaural speech enhancement (SE) provides a versatile and cost-effective...
Interaction selection for linear regression models with both continuous ...
The goal of model compression is to reduce the size of a large neural ne...
In many applications, we have access to the complete dataset but are onl...
Score tests have the advantage of requiring estimation alone of the mode...
The existing face recognition datasets usually lack occlusion samples, w...
Delayed rewards problem in contextual bandits has been of interest in va...
Multi-source fusion positioning is one of the technical frameworks for
o...
The Pearson's χ^2 test and residual deviance test are two classical
good...
We study a multi-armed bandit problem with covariates in a setting where...
In the era of big data, analysts usually explore various statistical mod...
This paper aims at achieving better performance of prediction by combini...
High-dimensional linear regression with interaction effects is broadly
a...
We introduce a new criterion to determine the order of an autoregressive...