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Liang He

14 papers hereh-index 16785 citations70 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author3
  • middle author8
  • last author3

Across the 14 of 14 papers where every author was matched, so the position is known.

fields
  • cs.SD10
  • eess.AS4
same name
  • Liang He — 48 papers, h 14
  • Liang He — 30 papers, h 34
  • Liang He — 14 papers, h 6
  • Liang He — 13 papers, h 8
  • Liang He — 11 papers, h 3
  • Liang He — 11 papers, h 4

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20172023
most citedLarge Margin Softmax Loss for Speaker Verification

17 citations · 36 across the 14 of their papers we have counts for

collaborators
Showing 2018Show all

4 papers · 1 filter

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★ 8 cited

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…

cs.SD2018★ 2 cited

MTGAN: Speaker Verification through Multitasking Triplet Generative Adversarial Networks

Wenhao Ding, Liang He

In this paper, we propose an enhanced triplet method that improves the encoding process of embeddings by jointly utilizing generative adversarial mechanism and multitasking optimiz…

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