Emmett McQuinn
Signal Processing · 2014–2019
A researcher in the Science corpus: 3 papers; trusts 11 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Signal Processing — 29 citations into it
- Artificial Intelligence — 17 citations into it
- Speech & Audio — 13 citations into it
Whom Emmett McQuinn trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Yi Luo
- Jonathan Le Roux
- John R. Hershey
- Nima Mesgarani
- Zhong-Qiu Wang
- Diederik P. Kingma
- Zhuo Chen
- Yusuf Ziya Isik
Who trusts Emmett McQuinn overall
Papers from Emmett McQuinn's perspective
Ordered by how strongly the researchers Emmett McQuinn trusts endorse each paper. Same corpus, a different order for every researcher.
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Long Short-Term Memory
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet classification with deep convolutional neural networks
- Deep clustering: Discriminative embeddings for segmentation and separation
- Gradient-based learning applied to document recognition
- Multitalker Speech Separation With Utterance-Level Permutation Invariant Training of Deep Recurrent Neural Networks
- Attention is All you Need (Neural Information Processing Systems)
- Discriminatively trained recurrent neural networks for single-channel speech separation
- Complex Ratio Masking for Monaural Speech Separation
Their papers
- WHAM!: Extending Speech Separation to Noisy Environments (2019) — 507 citations
- WHAMR!: Noisy and Reverberant Single-Channel Speech Separation (2019) — 227 citations
- Neurogrid: A Mixed-Analog-Digital Multichip System for Large-Scale Neural Simulations (2014) — 1,126 citations