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20172023
most citedLarge Margin Softmax Loss for Speaker Verification

17 citations · 18 across the 7 of their papers we have counts for

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8 papers · 1 filter

cs.SD2019

THUEE system description for NIST 2019 SRE CTS Challenge

Yi Liu, Tianyu Liang, Can Xu +9

This paper describes the systems submitted by the department of electronic engineering, institute of microelectronics of Tsinghua university and TsingMicro Co. Ltd. (THUEE) to the…

cs.SD201917 cited

Large Margin Softmax Loss for Speaker Verification

Yi Liu, Liang He, Jia Liu

In neural network based speaker verification, speaker embedding is expected to be discriminative between speakers while the intra-speaker distance should remain small. A variety of…

cs.SD2019

Multi-Scale Time-Frequency Attention for Acoustic Event Detection

Jingyang Zhang, Wenhao Ding, Jintao Kang +1

Most attention-based methods only concentrate along the time axis, which is insufficient for Acoustic Event Detection (AED). Meanwhile, previous methods for AED rarely considered t…

cs.SD2018

Exploring a Unified Attention-Based Pooling Framework for Speaker Verification

Yi Liu, Liang He, Weiwei Liu +1

The pooling layer is an essential component in the neural network based speaker verification. Most of the current networks in speaker verification use average pooling to derive the…

cs.SD2018

Multiobjective Optimization Training of PLDA for Speaker Verification

Liang He, Xianhong Chen, Can Xu +1

Most current state-of-the-art text-independent speaker verification systems take probabilistic linear discriminant analysis (PLDA) as their backend classifiers. The parameters of P…

cs.SD2018

Speaker Embedding Extraction with Phonetic Information

Yi Liu, Liang He, Jia Liu +1

Speaker embeddings achieve promising results on many speaker verification tasks. Phonetic information, as an important component of speech, is rarely considered in the extraction o…