Jens Heitkaemper

Signal Processing · 2018

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

Subfields

Whom Jens Heitkaemper trusts overall

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

  1. Takuya Yoshioka
  2. Zhuo Chen
  3. Tomohiro Nakatani
  4. John R. Hershey
  5. Dong Yu
  6. Lukas Drude
  7. Mehrez Souden

Who trusts Jens Heitkaemper overall

  1. Shinji Watanabe
  2. Andrei Andrusenko
  3. Shota Horiguchi

Papers from Jens Heitkaemper's perspective

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

  1. The Kaldi Speech Recognition Toolkit
  2. Deep clustering: Discriminative embeddings for segmentation and separation
  3. Neural network based spectral mask estimation for acoustic beamforming (IEEE International Conference on Acoustics, Speech, and Signal Processing)
  4. The fifth 'CHiME' Speech Separation and Recognition Challenge: Dataset, task and baselines
  5. DEEP ATTRACTOR NETWORK FOR SINGLE-MICROPHONE SPEAKER SEPARATION
  6. Permutation invariant training of deep models for speaker-independent multi-talker speech separation
  7. The third ‘CHiME’ speech separation and recognition challenge: Dataset, task and baselines
  8. On Optimal Frequency-Domain Multichannel Linear Filtering for Noise Reduction (IEEE Transactions on Audio, Speech, and Language Processing)
  9. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  10. Generalization of Multi-Channel Linear Prediction Methods for Blind MIMO Impulse Response Shortening

Their papers