default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDRyo Nishikimi
Person information
SPARQL queries 
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
2020 – today
- 2024
[c18]Masahiro Nakano, Hiroki Sakuma
, Ryo Nishikimi, Ryohei Shibue, Takashi Sato, Tomoharu Iwata, Kunio Kashino:
Warped Diffusion for Latent Differentiation Inference. AISTATS 2024: 4789-4797- 2022
- [c17]Masahiro Nakano, Ryo Nishikimi, Yasuhiro Fujiwara, Akisato Kimura, Takeshi Yamada, Naonori Ueda:
Nonparametric Relational Models with Superrectangulation. AISTATS 2022: 8921-8937 - 2021
- [b1]Ryo Nishikimi:
Generative, Discriminative, and Hybrid Approaches to Audio-to-Score Automatic Singing Transcription. Kyoto University, Japan, 2021 - [c16]Keitaro Tanaka, Ryo Nishikimi, Yoshiaki Bando, Kazuyoshi Yoshii, Shigeo Morishima:
Pitch-Timbre Disentanglement Of Musical Instrument Sounds Based On Vae-Based Metric Learning. ICASSP 2021: 111-115 - [c15]Yuki Hiramatsu, Go Shibata, Ryo Nishikimi, Eita Nakamura, Kazuyoshi Yoshii:
Statistical Correction of Transcribed Melody Notes Based on Probabilistic Integration of a Music Language Model and a Transcription Error Model. ICASSP 2021: 256-260 - [i2]Ryoto Ishizuka, Ryo Nishikimi, Kazuyoshi Yoshii:
Global Structure-Aware Drum Transcription Based on Self-Attention Mechanisms. CoRR abs/2105.05791 (2021) - 2020
- [j1]Ryo Nishikimi, Eita Nakamura, Masataka Goto, Katsutoshi Itoyama, Kazuyoshi Yoshii:
Bayesian Singing Transcription Based on a Hierarchical Generative Model of Keys, Musical Notes, and F0 Trajectories. IEEE ACM Trans. Audio Speech Lang. Process. 28: 1678-1691 (2020) - [c14]Ryoto Ishizuka, Ryo Nishikimi, Eita Nakamura, Kazuyoshi Yoshii:
Tatum-Level Drum Transcription Based on a Convolutional Recurrent Neural Network with Language Model-Based Regularized Training. APSIPA 2020: 359-364 - [c13]Go Shibata, Ryo Nishikimi, Kazuyoshi Yoshii:
Music Structure Analysis Based on an LSTM-HSMM Hybrid Model. ISMIR 2020: 23-29 - [c12]Keitaro Tanaka, Takayuki Nakatsuka, Ryo Nishikimi, Kazuyoshi Yoshii, Shigeo Morishima:
Multi-Instrument Music Transcription Based on Deep Spherical Clustering of Spectrograms and Pitchgrams. ISMIR 2020: 327-334 - [i1]Ryoto Ishizuka, Ryo Nishikimi, Eita Nakamura, Kazuyoshi Yoshii:
Tatum-Level Drum Transcription Based on a Convolutional Recurrent Neural Network with Language Model-Based Regularized Training. CoRR abs/2010.03749 (2020)
2010 – 2019
- 2019
- [c11]Ryo Nishikimi, Eita Nakamura, Satoru Fukayama, Masataka Goto, Kazuyoshi Yoshii:
Automatic Singing Transcription Based on Encoder-decoder Recurrent Neural Networks with a Weakly-supervised Attention Mechanism. ICASSP 2019: 161-165 - [c10]Eita Nakamura, Kentaro Shibata, Ryo Nishikimi, Kazuyoshi Yoshii:
Unsupervised Melody Style Conversion. ICASSP 2019: 196-200 - [c9]Kentaro Shibata, Ryo Nishikimi, Satoru Fukayama, Masataka Goto, Eita Nakamura, Katsutoshi Itoyama, Kazuyoshi Yoshii:
Joint Transcription of Lead, Bass, and Rhythm Guitars Based on a Factorial Hidden Semi-Markov Model. ICASSP 2019: 236-240 - [c8]Shun Ueda, Kentaro Shibata, Yusuke Wada, Ryo Nishikimi, Eita Nakamura, Kazuyoshi Yoshii:
Bayesian Drum Transcription Based on Nonnegative Matrix Factor Decomposition with a Deep Score Prior. ICASSP 2019: 456-460 - [c7]Go Shibata, Ryo Nishikimi, Eita Nakamura, Kazuyoshi Yoshii:
Statistical Music Structure Analysis Based on a Homogeneity-, Repetitiveness-, and Regularity-Aware Hierarchical Hidden Semi-Markov Model. ISMIR 2019: 268-275 - [c6]Ryo Nishikimi, Eita Nakamura, Masataka Goto, Kazuyoshi Yoshii:
End-To-End Melody Note Transcription Based on a Beat-Synchronous Attention Mechanism. WASPAA 2019: 26-30 - [c5]Tomoyasu Nakano, Kazuyoshi Yoshii, Yiming Wu, Ryo Nishikimi, Kin Wah Edward Lin, Masataka Goto:
Joint Singing Pitch Estimation and Voice Separation Based on a Neural Harmonic Structure Renderer. WASPAA 2019: 160-164 - 2018
- [c4]Yusuke Wada, Ryo Nishikimi, Eita Nakamura, Katsutoshi Itoyama, Kazuyoshi Yoshii:
Sequential Generation of Singing F0 Contours from Musical Note Sequences Based on WaveNet. APSIPA 2018: 983-989 - [c3]Eita Nakamura, Ryo Nishikimi, Simon Dixon, Kazuyoshi Yoshii:
Probabilistic Sequential Patterns for Singing Transcription. APSIPA 2018: 1905-1912 - 2017
- [c2]Ryo Nishikimi, Eita Nakamura, Masataka Goto, Katsutoshi Itoyama, Kazuyoshi Yoshii:
Scale- and Rhythm-Aware Musical Note Estimation for Vocal F0 Trajectories Based on a Semi-Tatum-Synchronous Hierarchical Hidden Semi-Markov Model. ISMIR 2017: 376-382 - 2016
- [c1]Ryo Nishikimi, Eita Nakamura, Katsutoshi Itoyama, Kazuyoshi Yoshii:
Musical Note Estimation for F0 Trajectories of Singing Voices Based on a Bayesian Semi-Beat-Synchronous HMM. ISMIR 2016: 461-467
Coauthor Index
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from 
to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the 
of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from 
, 
, and 
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from 
.
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-10-07 21:23 CEST by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
