Joerg Schmalenstroeer

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 Joerg Schmalenstroeer trusts overall

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

  1. Takuya Yoshioka
  2. Zhuo Chen
  3. Tomohiro Nakatani

Who trusts Joerg Schmalenstroeer overall

  1. Shinji Watanabe

Papers from Joerg Schmalenstroeer's perspective

Ordered by how strongly the researchers Joerg Schmalenstroeer 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. Generalization of Multi-Channel Linear Prediction Methods for Blind MIMO Impulse Response Shortening
  10. An analysis of environment, microphone and data simulation mismatches in robust speech recognition

Their papers