Ebrahim Beyrami

Signal Processing · 2019–2020

A researcher in the Science corpus: 3 papers; trusts 1 researcher and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

Whom Ebrahim Beyrami trusts overall

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

  1. Jean-Marc Valin
  2. Andrew Hines
  3. Yi Luo
  4. Y. Hu
  5. Vassil Panayotov
  6. Santiago Pascual

Who trusts Ebrahim Beyrami overall

  1. Chandan K. A. Reddy
  2. Ross Cutler
  3. Vishak Gopal
  4. Harishchandra Dubey
  5. Alexandre D'efossez
  6. Sebastian Braun

Papers from Ebrahim Beyrami's perspective

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

  1. Perceptual evaluation of speech quality (PESQ)-a new method for speech quality assessment of telephone networks and codecs
  2. Librispeech: An ASR corpus based on public domain audio books
  3. A Regression Approach to Speech Enhancement Based on Deep Neural Networks
  4. Conv-TasNet: Surpassing Ideal Time-Frequency Magnitude Masking for Speech Separation
  5. Audio Set: An ontology and human-labeled dataset for audio events
  6. SEGAN: Speech Enhancement Generative Adversarial Network
  7. ViSQOL: an objective speech quality model
  8. A Hybrid DSP/Deep Learning Approach to Real-Time Full-Band Speech Enhancement
  9. The Diverse Environments Multi-channel Acoustic Noise Database (DEMAND): A database of multichannel environmental noise recordings
  10. Subjective Comparison of Speech Enhancement Algorithms

Their papers