Hiroshi Saruwatari

Artificial Intelligence · 2001–2024

A researcher in the Science corpus: 13 papers; trusts 86 researchers and is trusted by 47 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 112 citations into it; #4,874 of 35,345 by trust here, #7,471 by citations
• Signal Processing — 79 citations into it; #838 of 7,572 by trust here, #945 by citations
• Speech & Audio — 69 citations into it; #577 of 1,076 by trust here, #832 by citations
• Natural Language Processing — 26 citations into it
• Computer Vision and Pattern Recognition — 19 citations into it
• Representation & Self-Supervised Learning — 17 citations into it
• Optimization & Training — 12 citations into it
• Computational Mechanics — 7 citations into it; #9,167 of 10,001 by trust here, #7,173 by citations

Whom Hiroshi Saruwatari trusts overall

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

1. Heiga Zen
2. Geoffrey E. Hinton
3. Hideki Kawahara
4. Diederik P. Kingma
5. Keiichi Tokuda
6. Yoshua Bengio
7. Jimmy Ba
8. Alex Krizhevsky
9. Alex Graves
10. Yann LeCun

Who trusts Hiroshi Saruwatari overall

1. Heiga Zen
2. Berrak Sisman
3. Zhizheng Wu
4. Shinnosuke Takamichi
5. Masanori Morise
6. Hirokazu Kameoka
7. Hubert Siuzdak
8. Yuki Saito
9. Sakriani Watiasri Sakti
10. Takuhiro Kaneko

Papers from Hiroshi Saruwatari's perspective

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

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

Their papers

• Low-delay voice conversion based on maximum likelihood estimation of spectral parameter trajectory (2008) — 1,064 citations
• RALL-E: Robust Codec Language Modeling with Chain-of-Thought Prompting for Text-to-Speech Synthesis (2024) — 44 citations
• Improving Speech Prosody of Audiobook Text-To-Speech Synthesis with Acoustic and Textual Contexts (2022) — 20 citations
• UTMOS: UTokyo-SaruLab System for VoiceMOS Challenge 2022 (2022) — 634 citations
• Disentangled Speaker and Language Representations Using Mutual Information Minimization and Domain Adaptation for Cross-Lingual TTS (2021) — 31 citations
• Cross-Lingual Speaker Adaptation Using Domain Adaptation and Speaker Consistency Loss for Text-To-Speech Synthesis (2021) — 12 citations
• Phase Reconstruction from Amplitude Spectrograms Based on Von-Mises-Distribution Deep Neural Network (2018) — 47 citations
• Statistical Parametric Speech Synthesis Incorporating Generative Adversarial Networks (2017) — 213 citations
• JSUT corpus: free large-scale Japanese speech corpus for end-to-end speech synthesis (2017) — 185 citations
• Determined Blind Source Separation Unifying Independent Vector Analysis and Nonnegative Matrix Factorization (2016) — 336 citations
• PAPER Special Section on Processing Natural Speech Variability for Improved Verbal Human-Computer Interaction Improvements of the One-to-Many Eigenvoice Conversion System (2010) — 5 citations
• GMM-based voice conversion applied to emotional speech synthesis (2003) — 101 citations
• Fundamental limitation of frequency domain blind source separation for convolutive mixture of speech (2001) — 398 citations