Daichi Kitamura
Signal Processing · 2016–2018
A researcher in the Science corpus: 2 papers; trusts 4 researchers and is trusted by 1 researcher here, as inferred from the citation graph.
Subfields
- Signal Processing — 15 citations into it; #7,060 of 7,572 by trust here, #6,591 by citations
- Artificial Intelligence — 11 citations into it; #32,741 of 35,345 by trust here, #33,294 by citations
- Computational Mechanics — 7 citations into it
Whom Daichi Kitamura trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Taesu Kim
- Nobutaka Ono
- Cédric Févotte
- Noboru Murata
- Ngoc Q. K. Duong
- Satoshi Nakamura
- Daniel D. Lee
- Emmanuel Vincent
- Tuomas Virtanen
- Te-Won Lee
Who trusts Daichi Kitamura overall
Papers from Daichi Kitamura's perspective
Ordered by how strongly the researchers Daichi Kitamura trusts endorse each paper. Same corpus, a different order for every researcher.
- GENERATIVE ADVERSARIAL NETS
- An approach to blind source separation based on temporal structure of speech signals (Neurocomputing)
- Learning the parts of objects by non-negative matrix factorization
- Adaptive Subgradient Methods for Online Learning and Stochastic Optimization
- Tacotron: Towards End-to-End Speech Synthesis
- A robust and precise method for solving the permutation problem of frequency-domain blind source separation (IEEE Transactions on Speech and Audio Processing)
- Signal estimation from modified short-time Fourier transform
- Algorithms for Non-negative Matrix Factorization
- Deep Sparse Rectifier Neural Networks
- Monaural Sound Source Separation by Nonnegative Matrix Factorization With Temporal Continuity and Sparseness Criteria (IEEE Transactions on Audio, Speech, and Language Processing)