Nobutaka Ono

Signal Processing · 2008–2016

A researcher in the Science corpus: 4 papers; trusts 15 researchers and is trusted by 11 researchers here, as inferred from the citation graph.

Subfields

• Signal Processing — 21 citations into it; #1,928 of 7,572 by trust here, #6,083 by citations
• Computational Mechanics — 10 citations into it; #2,518 of 10,001 by trust here, #8,258 by citations
• Analytical Chemistry — 5 citations into it

Whom Nobutaka Ono trusts overall

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

1. Taesu Kim
2. Daniel D. Lee
3. Noboru Murata
4. Hiroshi Sawada
5. Te-Won Lee
6. Satoshi Nakamura
7. Emmanuel Vincent
8. Cédric Févotte
9. Tuomas Virtanen
10. Torbjørn Eltoft

Who trusts Nobutaka Ono overall

1. Sharon Gannot
2. Keiko Ochi
3. Daichi Kitamura
4. Emmanuel Vincent
5. Jun Du
6. Jonathan Le Roux
7. Shmulik Markovich Golan
8. Shigeki Miyabe
9. François G. Germain
10. Daniel Stoller

Papers from Nobutaka Ono's perspective

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

1. A robust and precise method for solving the permutation problem of frequency-domain blind source separation (IEEE Transactions on Speech and Audio Processing)
2. Learning the parts of objects by non-negative matrix factorization
3. Monaural Sound Source Separation by Nonnegative Matrix Factorization With Temporal Continuity and Sparseness Criteria (IEEE Transactions on Audio, Speech, and Language Processing)
4. Nonnegative Matrix Factorization with the Itakura-Saito Divergence: With Application to Music Analysis (Neural Computation)
5. Algorithms for Non-negative Matrix Factorization
6. Stable and fast update rules for independent vector analysis based on auxiliary function technique (IEEE Workshop on Applications of Signal Processing to Audio and Acoustics)
7. Under-Determined Reverberant Audio Source Separation Using a Full-Rank Spatial Covariance Model (IEEE Transactions on Audio, Speech, and Language Processing)
8. Independent Vector Analysis: An Extension of ICA to Multivariate Components
9. Blind Source Separation Exploiting Higher-Order Frequency Dependencies (IEEE Transactions on Audio, Speech, and Language Processing)
10. An approach to blind source separation based on temporal structure of speech signals (Neurocomputing)

Their papers

• Multi-Talker Speech Recognition Based on Blind Source Separation with ad hoc Microphone Array Using Smartphones and Cloud Storage (2016) — 20 citations
• Determined Blind Source Separation Unifying Independent Vector Analysis and Nonnegative Matrix Factorization (2016) — 336 citations
• Stable and fast update rules for independent vector analysis based on auxiliary function technique (2011) — 390 citations
• Explicit consistency constraints for STFT spectrograms and their application to phase reconstruction (2008) — 95 citations