Yukun Qian

Signal Processing · 2022

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

Subfields

Whom Yukun Qian trusts overall

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

  1. Yi Luo

Papers from Yukun Qian's perspective

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

  1. Conv-TasNet: Surpassing Ideal Time-Frequency Magnitude Masking for Speech Separation
  2. Perceptual evaluation of speech quality (PESQ)-a new method for speech quality assessment of telephone networks and codecs
  3. Performance measurement in blind audio source separation
  4. An Algorithm for Intelligibility Prediction of Time–Frequency Weighted Noisy Speech
  5. A Hybrid DSP/Deep Learning Approach to Real-Time Full-Band Speech Enhancement
  6. Dnsmos: A Non-Intrusive Perceptual Objective Speech Quality Metric to Evaluate Noise Suppressors
  7. Weighted Speech Distortion Losses for Neural-Network-Based Real-Time Speech Enhancement
  8. Dual-Path RNN: Efficient Long Sequence Modeling for Time-Domain Single-Channel Speech Separation
  9. Interactive Speech and Noise Modeling for Speech Enhancement
  10. Learning Complex Spectral Mapping with Gated Convolutional Recurrent Networks for Monaural Speech Enhancement (IEEE/ACM Transactions on Audio Speech and Language Processing)

Their papers