23 citations · 95 across the 16 of their papers we have counts for
6 papers · 1 filter
Probing Deep Speaker Embeddings for Speaker-related Tasks
Zifeng Zhao, Ding Pan, Junyi Peng +1
Deep speaker embeddings have shown promising results in speaker recognition, as well as in other speaker-related tasks. However, some issues are still under explored, for instance,…
Change point inference in high-dimensional regression models under temporal dependence
Haotian Xu, Daren Wang, Zifeng Zhao +1
This paper concerns about the limiting distributions of change point estimators, in a high-dimensional linear regression time series context, where a regression object $(y_t, X_t)…
Change-point Detection for Sparse and Dense Functional Data in General Dimensions
Carlos Misael Madrid Padilla, Daren Wang, Zifeng Zhao +1
We study the problem of change-point detection and localisation for functional data sequentially observed on a general d-dimensional space, where we allow the functional curves to…
Optimal Change-point Testing for High-dimensional Linear Models with Temporal Dependence
Zifeng Zhao, Xiaokai Luo, Zongge Liu +1
In this paper, we study change-point testing for high-dimensional linear models, an important problem that has not been well explored in the literature. Specifically, we propose a…
Speaker-Aware Mixture of Mixtures Training for Weakly Supervised Speaker Extraction
Zifeng Zhao, Rongzhi Gu, Dongchao Yang +2
Dominant researches adopt supervised training for speaker extraction, while the scarcity of ideally clean corpus and channel mismatch problem are rarely considered. To this end, we…
Target Confusion in End-to-end Speaker Extraction: Analysis and Approaches
Zifeng Zhao, Dongchao Yang, Rongzhi Gu +2
Recently, end-to-end speaker extraction has attracted increasing attention and shown promising results. However, its performance is often inferior to that of a blind source separat…