research
∙
12/01/2020
A Unified Deep Speaker Embedding Framework for Mixed-Bandwidth Speech Data
This paper proposes a unified deep speaker embedding framework for model...
share
research
∙
02/23/2020
DIHARD II is Still Hard: Experimental Results and Discussions from the DKU-LENOVO Team
In this paper, we present the submitted system for the second DIHARD Spe...
research
∙
02/03/2020
Within-sample variability-invariant loss for robust speaker recognition under noisy environments
Despite the significant improvements in speaker recognition enabled by d...
research
∙
07/05/2019
The DKU Replay Detection System for the ASVspoof 2019 Challenge: On Data Augmentation, Feature Representation, Classification, and Fusion
This paper describes our DKU replay detection system for the ASVspoof 20...
research
∙
02/20/2019
Utterance-level end-to-end language identification using attention-based CNN-BLSTM
In this paper, we present an end-to-end language identification framewor...
research
∙
09/09/2018
End-to-end Language Identification using NetFV and NetVLAD
In this paper, we apply the NetFV and NetVLAD layers for the end-to-end ...
research
∙
06/08/2018
Analysis of Length Normalization in End-to-End Speaker Verification System
The classical i-vectors and the latest end-to-end deep speaker embedding...
research
∙
04/14/2018
Exploring the Encoding Layer and Loss Function in End-to-End Speaker and Language Recognition System
In this paper, we explore the encoding/pooling layer and loss function i...
research
∙
04/02/2018
A Novel Learnable Dictionary Encoding Layer for End-to-End Language Identification
A novel learnable dictionary encoding layer is proposed in this paper fo...
research
∙
04/02/2018
Insights into End-to-End Learning Scheme for Language Identification
A novel interpretable end-to-end learning scheme for language identifica...
research
∙
07/24/2015
