Licheng Zhu

Signal Processing · with Antognini · 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 Licheng Zhu trusts overall

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

  1. Jonathan Le Roux
  2. John R. Hershey

Papers from Licheng Zhu's perspective

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

  1. Deep clustering: Discriminative embeddings for segmentation and separation
  2. Multitalker Speech Separation With Utterance-Level Permutation Invariant Training of Deep Recurrent Neural Networks
  3. Discriminatively trained recurrent neural networks for single-channel speech separation
  4. Alternative Objective Functions for Deep Clustering
  5. Complex Ratio Masking for Monaural Speech Separation
  6. Single-Channel Multi-Speaker Separation Using Deep Clustering
  7. TaSNet: Time-Domain Audio Separation Network for Real-Time, Single-Channel Speech Separation
  8. SDR – Half-baked or Well Done?
  9. End-to-End Speech Separation with Unfolded Iterative Phase Reconstruction
  10. Phase-sensitive and recognition-boosted speech separation using deep recurrent neural networks

Their papers