Tuomo Raitio

Artificial Intelligence · 2014–2021

A researcher in the Science corpus: 5 papers; trusts 27 researchers and is trusted by 7 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 53 citations into it; #13,044 of 35,345 by trust here, #13,962 by citations
• Signal Processing — 36 citations into it; #2,517 of 7,572 by trust here, #2,114 by citations
• Speech & Audio — 28 citations into it; #483 of 1,076 by trust here, #711 by citations
• Natural Language Processing — 13 citations into it
• Computer Vision and Pattern Recognition — 9 citations into it; #21,555 of 21,575 by trust here, #19,766 by citations
• Probabilistic & Bayesian Methods — 8 citations into it
• Generative Models — 6 citations into it

Whom Tuomo Raitio trusts overall

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

1. Geoffrey E. Hinton
2. Keiichi Tokuda
3. Paul Smolensky
4. Ruslan Salakhutdinov
5. Bart Kosko
6. Heiga Zen
7. Yoshua Bengio
8. Tomoki Toda
9. Li Deng
10. Zhenhua Ling

Who trusts Tuomo Raitio overall

1. Amir Zadeh
2. Percy Liang
3. Takuhiro Kaneko
4. Shinji Takaki
5. Louis-philippe Morency

Papers from Tuomo Raitio's perspective

Ordered by how strongly the researchers Tuomo Raitio trusts endorse each paper. Same corpus, a different order for every researcher.

1. ImageNet classification with deep convolutional neural networks
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
3. Long Short-Term Memory
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Attention is All you Need (Neural Information Processing Systems)
6. Gradient-based learning applied to document recognition
7. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
8. ImageNet: A large-scale hierarchical image database
9. Learning Multiple Layers of Features from Tiny Images
10. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)

Their papers

• COVAREP — A collaborative voice analysis repository for speech technologies (2014) — 834 citations
• Siri On-Device Deep Learning-Guided Unit Selection Text-to-Speech System (2017) — 67 citations
• Whispered and Lombard Neural Speech Synthesis (2021) — 18 citations
• A Deep Generative Architecture for Postfiltering in Statistical Parametric Speech Synthesis (2015) — 50 citations
• DNN-based stochastic postfilter for HMM-based speech synthesis (2014) — 41 citations