Christoph Boeddeker
Signal Processing · 2018–2020
A researcher in the Science corpus: 4 papers; trusts 20 researchers and is trusted by 7 researchers here, as inferred from the citation graph.
Subfields
- Signal Processing — 46 citations into it; #4,576 of 7,572 by trust here, #4,201 by citations
- Artificial Intelligence — 33 citations into it
- Speech & Audio — 29 citations into it; #721 of 1,076 by trust here, #821 by citations
- Computational Mechanics — 13 citations into it; #9,717 of 10,001 by trust here, #6,877 by citations
Whom Christoph Boeddeker trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Takuya Yoshioka
- Tomohiro Nakatani
- Zhuo Chen
- Shinji Watanabe
- Yi Luo
- Mehrez Souden
- Dong Yu
- Lukas Drude
- Emmanuel Vincent
- John R. Hershey
Who trusts Christoph Boeddeker overall
- Shinji Watanabe
- Andrei Andrusenko
- Ivan Medennikov
- Shota Horiguchi
- Tae Jin Park
- Yusuke Fujita
- Catalin Zorila
- Aleksandr Laptev
- William Chan
- Naoyuki Kanda
Papers from Christoph Boeddeker's perspective
Ordered by how strongly the researchers Christoph Boeddeker trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)
- Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
- Gradient-based learning applied to document recognition
- The Kaldi Speech Recognition Toolkit
- Recurrent neural network based language model
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
Their papers
- An Investigation into the Effectiveness of Enhancement in ASR Training and Test for Chime-5 Dinner Party Transcription (2019) — 38 citations
- Multi-talker ASR for an unknown number of sources: Joint training of source counting, separation and ASR (2020) — 46 citations
- Front-end processing for the CHiME-5 dinner party scenario (2018) — 146 citations
- NARA-WPE: A Python package for weighted prediction error dereverberation in Numpy and Tensorflow for online and offline processing (2018) — 134 citations