Takanori Ashihara

Speech & Audio · 2023

A researcher in the Science corpus: 1 paper; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Speech & Audio — 13 citations into it

Whom Takanori Ashihara trusts overall

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

1. Yi Ren
2. Alexei Baevski
3. Wei-Ning Hsu
4. Rama Doddipatla
5. Geoffrey E. Hinton
6. Diederik P. Kingma
7. Rafael Valle

Papers from Takanori Ashihara's perspective

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

1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
2. Attention is All you Need (Neural Information Processing Systems)
3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. ImageNet classification with deep convolutional neural networks
5. Long Short-Term Memory
6. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
7. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
8. Gradient-based learning applied to document recognition
9. ImageNet: A large-scale hierarchical image database
10. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)

Their papers

• Zero-Shot Text-to-Speech Synthesis Conditioned Using Self-Supervised Speech Representation Model (2023) — 16 citations