Walter Kellermann

Signal Processing · 2006–2016

A researcher in the Science corpus: 5 papers; trusts 7 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

Whom Walter Kellermann trusts overall

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

  1. Jacob Benesty
  2. Dong Yu
  3. Deliang Wang
  4. Arun Narayanan
  5. P. Loizou
  6. Y. Hu
  7. M. Seltzer

Who trusts Walter Kellermann overall

  1. Mirco Ravanelli

Papers from Walter Kellermann's perspective

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

  1. The Kaldi Speech Recognition Toolkit
  2. Deep Neural Networks for Acoustic Modeling in Speech Recognition
  3. An investigation of deep neural networks for noise robust speech recognition
  4. The reverb challenge: A common evaluation framework for dereverberation and recognition of reverberant speech
  5. Recent advances in deep learning for speech research at Microsoft
  6. Improving deep neural network acoustic models using generalized maxout networks
  7. Evaluation of Objective Quality Measures for Speech Enhancement
  8. LINEAR PREDICTION-BASED DEREVERBERATION WITH ADVANCED SPEECH ENHANCEMENT AND RECOGNITION TECHNOLOGIES FOR THE REVERB CHALLENGE
  9. Distant Speech Recognition
  10. Hybrid acoustic models for distant and multichannel large vocabulary speech recognition

Their papers