Zhiqi Wang

Signal Processing · 2019

A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Zhiqi Wang trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

  1. Daniel Povey
  2. Florin Curelaru
  3. Sergey Ioffe

Papers from Zhiqi Wang's perspective

Ordered by how strongly the researchers Zhiqi Wang trusts endorse each paper. Same corpus, a different order for every researcher.

  1. The Kaldi Speech Recognition Toolkit
  2. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  3. Dropout: a simple way to prevent neural networks from overfitting
  4. Front-End Factor Analysis for Speaker Verification
  5. Connectionist temporal classification: labelling unsegmented sequence data with recurrent neural networks
  6. Long short-term memory recurrent neural network architectures for large scale acoustic modeling
  7. Image method for efficiently simulating small‐room acoustics
  8. The reverb challenge: A common evaluation framework for dereverberation and recognition of reverberant speech
  9. Front-End Factor Analysis For Speaker Verification
  10. Purely Sequence-Trained Neural Networks for ASR Based on Lattice-Free MMI

Their papers