36 citations · 83 across the 13 of their papers we have counts for
5 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…
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…
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…
A Novel Learnable Dictionary Encoding Layer for End-to-End Language Identification
Weicheng Cai, Zexin Cai, Xiang Zhang +2
A novel learnable dictionary encoding layer is proposed in this paper for end-to-end language identification. It is inline with the conventional GMM i-vector approach both theoreti…
Insights into End-to-End Learning Scheme for Language Identification
Weicheng Cai, Zexin Cai, Wenbo Liu +2
A novel interpretable end-to-end learning scheme for language identification is proposed. It is in line with the classical GMM i-vector methods both theoretically and practically.…