112 citations · 276 across the 21 of their papers we have counts for
12 papers · 1 filter
End-to-end Language Identification using NetFV and NetVLAD
Jinkun Chen, Weicheng Cai, Danwei Cai +3
In this paper, we apply the NetFV and NetVLAD layers for the end-to-end language identification task. NetFV and NetVLAD layers are the differentiable implementations of the standar…
Two Dimensional Stochastic Configuration Networks for Image Data Analytics
Ming Li, Dianhui Wang
Stochastic configuration networks (SCNs) as a class of randomized learner model have been successfully employed in data analytics due to its universal approximation capability and…
Analysis of Length Normalization in End-to-End Speaker Verification System
Weicheng Cai, Jinkun Chen, Ming Li
The classical i-vectors and the latest end-to-end deep speaker embeddings are the two representative categories of utterance-level representations in automatic speaker verification…
Text classification based on ensemble extreme learning machine
Ming Li, Peilun Xiao, Ju Zhang
In this paper, we propose a novel approach based on cost-sensitive ensemble weighted extreme learning machine; we call this approach AE1-WELM. We apply this approach to text classi…
Hybrid Adaptive Fuzzy Extreme Learning Machine for text classification
Ming Li, Peilun Xiao, Ju Zhang
In traditional ELM and its improved versions suffer from the problems of outliers or noises due to overfitting and imbalance due to distribution. We propose a novel hybrid adaptive…
Exploring the Encoding Layer and Loss Function in End-to-End Speaker and Language Recognition System
Weicheng Cai, Jinkun Chen, Ming Li
In this paper, we explore the encoding/pooling layer and loss function in the end-to-end speaker and language recognition system. First, a unified and interpretable end-to-end syst…