36 citations · 83 across the 13 of their papers we have counts for
13 papers
A Unified Deep Speaker Embedding Framework for Mixed-Bandwidth Speech Data
Weicheng Cai, Ming Li
This paper proposes a unified deep speaker embedding framework for modeling speech data with different sampling rates. Considering the narrowband spectrogram as a sub-image of the…
Within-sample variability-invariant loss for robust speaker recognition under noisy environments
Danwei Cai, Weicheng Cai, Ming Li
Despite the significant improvements in speaker recognition enabled by deep neural networks, unsatisfactory performance persists under noisy environments. In this paper, we train t…
DIHARD II is Still Hard: Experimental Results and Discussions from the DKU-LENOVO Team
Qingjian Lin, Weicheng Cai, Lin Yang +3
In this paper, we present the submitted system for the second DIHARD Speech Diarization Challenge from the DKULENOVO team. Our diarization system includes multiple modules, namely…
The DKU Replay Detection System for the ASVspoof 2019 Challenge: On Data Augmentation, Feature Representation, Classification, and Fusion
Weicheng Cai, Haiwei Wu, Danwei Cai +1
This paper describes our DKU replay detection system for the ASVspoof 2019 challenge. The goal is to develop spoofing countermeasure for automatic speaker recognition in physical a…
The DKU System for the Speaker Recognition Task of the 2019 VOiCES from a Distance Challenge
Danwei Cai, Xiaoyi Qin, Weicheng Cai +1
In this paper, we present the DKU system for the speaker recognition task of the VOiCES from a distance challenge 2019. We investigate the whole system pipeline for the far-field s…
The DKU-SMIIP System for NIST 2018 Speaker Recognition Evaluation
Danwei Cai, Weicheng Cai, Ming Li
In this paper, we present the system submission for the NIST 2018 Speaker Recognition Evaluation by DKU Speech and Multi-Modal Intelligent Information Processing (SMIIP) Lab. We ex…
Utterance-level end-to-end language identification using attention-based CNN-BLSTM
Weicheng Cai, Danwei Cai, Shen Huang +1
In this paper, we present an end-to-end language identification framework, the attention-based Convolutional Neural Network-Bidirectional Long-short Term Memory (CNN-BLSTM). The mo…
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.…
The SYSU System for the Interspeech 2015 Automatic Speaker Verification Spoofing and Countermeasures Challenge
Shitao Weng, Shushan Chen, Lei Yu +4
Many existing speaker verification systems are reported to be vulnerable against different spoofing attacks, for example speaker-adapted speech synthesis, voice conversion, play ba…