Atsunori Ogawa
Signal Processing · 2012–2019
A researcher in the Science corpus: 8 papers; trusts 61 researchers and is trusted by 14 researchers here, as inferred from the citation graph.
Subfields
- Signal Processing — 81 citations into it; #2,442 of 7,572 by trust here, #1,411 by citations
- Artificial Intelligence — 79 citations into it; #12,299 of 35,345 by trust here, #9,968 by citations
- Speech & Audio — 40 citations into it
- Natural Language Processing — 27 citations into it
- Computational Mechanics — 18 citations into it
- Computer Vision and Pattern Recognition — 15 citations into it
- Model Architectures — 15 citations into it
- Optimization & Training — 9 citations into it
Whom Atsunori Ogawa trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Geoffrey E. Hinton
- Diederik P. Kingma
- Yoshua Bengio
- Dong Yu
- Jimmy Ba
- Alex Graves
- Yann LeCun
- Paris Smaragdis
- Alex Krizhevsky
- Tomas Mikolov
Who trusts Atsunori Ogawa overall
Papers from Atsunori Ogawa's perspective
Ordered by how strongly the researchers Atsunori Ogawa trusts endorse each paper. Same corpus, a different order for every researcher.
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Attention is All you Need (Neural Information Processing Systems)
- Long Short-Term Memory
- Gradient-based learning applied to document recognition
- Going deeper with convolutions
- Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
- ImageNet: A large-scale hierarchical image database
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
Their papers
- The NTT CHiME-3 system: Advances in speech enhancement and recognition for mobile multi-microphone devices (2015) — 250 citations
- Improving Transformer-Based End-to-End Speech Recognition with Connectionist Temporal Classification and Language Model Integration (2019) — 231 citations
- Single Channel Target Speaker Extraction and Recognition with Speaker Beam (2018) — 204 citations
- Speaker-Aware Neural Network Based Beamformer for Speaker Extraction in Speech Mixtures (2017) — 112 citations
- Low-Latency Real-Time Meeting Recognition and Understanding Using Distant Microphones and Omni-Directional Camera (2012) — 88 citations
- Multimodal SpeakerBeam: Single Channel Target Speech Extraction with Audio-Visual Speaker Clues (2019) — 70 citations
- Text-informed speech enhancement with deep neural networks (2015) — 32 citations
- LINEAR PREDICTION-BASED DEREVERBERATION WITH ADVANCED SPEECH ENHANCEMENT AND RECOGNITION TECHNOLOGIES FOR THE REVERB CHALLENGE (2014) — 112 citations