Gautham J. Mysore
Signal Processing · 2014–2020
A researcher in the Science corpus: 6 papers; trusts 22 researchers and is trusted by 40 researchers here, as inferred from the citation graph.
Subfields
- Signal Processing — 42 citations into it; #628 of 7,572 by trust here, #1,504 by citations
- Artificial Intelligence — 31 citations into it; #4,401 of 35,345 by trust here, #11,921 by citations
- Speech & Audio — 16 citations into it
- Computer Vision and Pattern Recognition — 12 citations into it
- Computational Mechanics — 9 citations into it
- Evaluation & Benchmarks — 5 citations into it
Whom Gautham J. Mysore trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Emmanuel Vincent
- P. Loizou
- Jonathan Le Roux
- Diederik P. Kingma
- Andreas Karlsson
- Yoshua Bengio
- Valentin Emiya
- Y. Hu
- Jon Barker
- Geoffrey E. Hinton
Who trusts Gautham J. Mysore overall
- François G. Germain
- Rithesh Kumar
- Tomoki Toda
- Max Morrison
- Jaime Lorenzo-Trueba
- Hubert Siuzdak
- Junichi Yamagishi
- Prem Seetharaman
- Chen-Chou Lo
- Xin Eric Wang
Papers from Gautham J. Mysore's perspective
Ordered by how strongly the researchers Gautham J. Mysore trusts endorse each paper. Same corpus, a different order for every researcher.
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet classification with deep convolutional neural networks
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)
- Gradient-based learning applied to document recognition
- BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
- ImageNet: A large-scale hierarchical image database
- Learning Multiple Layers of Features from Tiny Images
- Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
Their papers
- Controllable Neural Prosody Synthesis (2020) — 24 citations
- Can we Automatically Transform Speech Recorded on Common Consumer Devices in Real-World Environments into Professional Production Quality Speech?—A Dataset, Insights, and Challenges (2015) — 124 citations
- Fftnet: A Real-Time Speaker-Dependent Neural Vocoder (2018) — 107 citations
- Crowdsourced Pairwise-Comparison for Source Separation Evaluation (2018) — 15 citations
- Equalization matching of speech recordings in real-world environments (2016) — 18 citations
- Static and Dynamic Source Separation Using Nonnegative Factorizations: A unified view (2014) — 167 citations