![](https://dblp1.uni-trier.de/img/logo.ua.320x120.png)
![](https://dblp1.uni-trier.de/img/dropdown.dark.16x16.png)
![](https://dblp1.uni-trier.de/img/peace.dark.16x16.png)
Остановите войну!
for scientists:
![search dblp search dblp](https://dblp1.uni-trier.de/img/search.dark.16x16.png)
![search dblp](https://dblp1.uni-trier.de/img/search.dark.16x16.png)
default search action
Toru Nakashika
Person information
Refine list
![note](https://dblp1.uni-trier.de/img/note-mark.dark.12x12.png)
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
2020 – today
- 2021
- [j12]Toru Nakashika
, Kohei Yatabe
:
Gamma Boltzmann Machine for Audio Modeling. IEEE ACM Trans. Audio Speech Lang. Process. 29: 2591-2605 (2021) - [c35]Francisco Mondragon, Jonathan Jimenez, Mariko Nakano, Toru Nakashika, Héctor Pérez-Meana:
Acoustic Scenery Recognition Using CWT and Deep Neural Network. SoMeT 2021: 303-312 - 2020
- [j11]Takuya Kishida, Toru Nakashika:
Speech Chain VC: Linking Linguistic and Acoustic Levels via Latent Distinctive Features for RBM-Based Voice Conversion. IEICE Trans. Inf. Syst. 103-D(11): 2340-2350 (2020) - [c34]Toru Nakashika, Kohei Yatabe:
Gamma Boltzmann Machine for Simultaneously Modeling Linear- and Log-amplitude Spectra. APSIPA 2020: 471-476 - [c33]Toru Nakashika:
Complex-Valued Variational Autoencoder: A Novel Deep Generative Model for Direct Representation of Complex Spectra. INTERSPEECH 2020: 2002-2006 - [c32]Takuya Kishida, Shin Tsukamoto, Toru Nakashika:
Simultaneous Conversion of Speaker Identity and Emotion Based on Multiple-Domain Adaptive RBM. INTERSPEECH 2020: 3431-3435 - [c31]Michel Pezzat, Héctor Manuel Pérez Meana, Toru Nakashika, Mariko Nakano:
Many-to-Many Symbolic Multi-Track Music Genre Transfer. SoMeT 2020: 272-281 - [i3]Toru Nakashika, Kohei Yatabe:
Gamma Boltzmann Machine for Simultaneously Modeling Linear- and Log-amplitude Spectra. CoRR abs/2006.13590 (2020)
2010 – 2019
- 2019
- [j10]Yuki Takashima
, Toru Nakashika, Tetsuya Takiguchi, Yasuo Ariki:
Non-parallel dictionary learning for voice conversion using non-negative Tucker decomposition. EURASIP J. Audio Speech Music. Process. 2019: 17 (2019) - [j9]Kentaro Sone, Toru Nakashika:
Pre-Training of DNN-Based Speech Synthesis Based on Bidirectional Conversion between Text and Speech. IEICE Trans. Inf. Syst. 102-D(8): 1546-1553 (2019) - [j8]Toru Nakashika
, Shinji Takaki, Junichi Yamagishi
:
Complex-Valued Restricted Boltzmann Machine for Speaker-Dependent Speech Parameterization From Complex Spectra. IEEE ACM Trans. Audio Speech Lang. Process. 27(2): 244-254 (2019) - [c30]Shinji Takaki, Toru Nakashika, Xin Wang
, Junichi Yamagishi:
STFT Spectral Loss for Training a Neural Speech Waveform Model. ICASSP 2019: 7065-7069 - 2018
- [j7]Toru Nakashika:
Deep Relational Model: A Joint Probabilistic Model with a Hierarchical Structure for Bidirectional Estimation of Image and Labels. IEICE Trans. Inf. Syst. 101-D(2): 428-436 (2018) - [c29]Yuki Takashima, Hajime Yano, Toru Nakashika, Tetsuya Takiguchi, Yasuo Ariki:
Parallel-Data-Free Dictionary Learning for Voice Conversion Using Non-Negative Tucker Decomposition. ICASSP 2018: 5294-5298 - [c28]Kentaro Sone, Toru Nakashika:
DNN-based Speech Synthesis for Small Data Sets Considering Bidirectional Speech-Text Conversion. INTERSPEECH 2018: 2519-2523 - [c27]Toru Nakashika:
LSTBM: A Novel Sequence Representation of Speech Spectra Using Restricted Boltzmann Machine with Long Short-Term Memory. INTERSPEECH 2018: 2529-2533 - [c26]Kentaro Sone, Shinji Takaki, Toru Nakashika:
Bidirectional Voice Conversion Based on Joint Training Using Gaussian-Gaussian Deep Relational Model. Odyssey 2018: 261-266 - [i2]Toru Nakashika, Shinji Takaki, Junichi Yamagishi:
Complex-Valued Restricted Boltzmann Machine for Direct Speech Parameterization from Complex Spectra. CoRR abs/1803.09946 (2018) - [i1]Shinji Takaki, Toru Nakashika, Xin Wang, Junichi Yamagishi:
STFT spectral loss for training a neural speech waveform model. CoRR abs/1810.11945 (2018) - 2017
- [j6]Toru Nakashika, Yasuhiro Minami:
Speaker-adaptive-trainable Boltzmann machine and its application to non-parallel voice conversion. EURASIP J. Audio Speech Music. Process. 2017: 16 (2017) - [c25]Toru Nakashika:
CAB: An Energy-Based Speaker Clustering Model for Rapid Adaptation in Non-Parallel Voice Conversion. INTERSPEECH 2017: 3369-3373 - [c24]Toru Nakashika, Shinji Takaki, Junichi Yamagishi:
Complex-Valued Restricted Boltzmann Machine for Direct Learning of Frequency Spectra. INTERSPEECH 2017: 4021-4025 - 2016
- [j5]Toru Nakashika, Tetsuya Takiguchi, Yasuhiro Minami:
Non-Parallel Training in Voice Conversion Using an Adaptive Restricted Boltzmann Machine. IEEE ACM Trans. Audio Speech Lang. Process. 24(11): 2032-2045 (2016) - [c23]Yuichiro Kataoka, Toru Nakashika, Ryo Aihara, Tetsuya Takiguchi, Yasuo Ariki:
Selection of an optimum random matrix using a genetic algorithm for acoustic feature extraction. ICIS 2016: 1-6 - [c22]Toru Nakashika, Yasuhiro Minami:
3WRBM-based speech factor modeling for arbitrary-source and non-parallel voice conversion. EUSIPCO 2016: 607-611 - [c21]Toru Nakashika, Tetsuya Takiguchi, Yasuo Ariki:
Modeling deep bidirectional relationships for image classification and generation. ICASSP 2016: 1327-1331 - [c20]Toru Nakashika, Yasuhiro Minami:
Speaker adaptive model based on Boltzmann machine for non-parallel training in voice conversion. ICASSP 2016: 5530-5534 - [c19]Toru Nakashika, Yasuhiro Minami:
Generative Acoustic-Phonemic-Speaker Model Based on Three-Way Restricted Boltzmann Machine. INTERSPEECH 2016: 1487-1491 - 2015
- [j4]Toru Nakashika, Tetsuya Takiguchi, Yasuo Ariki:
Voice conversion using speaker-dependent conditional restricted Boltzmann machine. EURASIP J. Audio Speech Music. Process. 2015: 8 (2015) - [j3]Ryo Aihara, Takao Fujii, Toru Nakashika, Tetsuya Takiguchi, Yasuo Ariki:
Small-parallel exemplar-based voice conversion in noisy environments using affine non-negative matrix factorization. EURASIP J. Audio Speech Music. Process. 2015: 32 (2015) - [j2]Toru Nakashika, Tetsuya Takiguchi, Yasuo Ariki:
Voice Conversion Using RNN Pre-Trained by Recurrent Temporal Restricted Boltzmann Machines. IEEE ACM Trans. Audio Speech Lang. Process. 23(3): 580-587 (2015) - [c18]Ryo Aihara, Takao Fujii, Toru Nakashika, Tetsuya Takiguchi, Yasuo Ariki:
Noise-robust voice conversion using a small parallel data based on non-negative matrix factorization. EUSIPCO 2015: 315-319 - [c17]Yuki Takashima, Toru Nakashika, Tetsuya Takiguchi, Yasuo Ariki:
Feature extraction using pre-trained convolutive bottleneck nets for dysarthric speech recognition. EUSIPCO 2015: 1411-1415 - [c16]Toru Nakashika, Tetsuya Takiguchi, Yasuo Ariki:
Sparse nonlinear representation for voice conversion. ICME 2015: 1-6 - [c15]Jinhui Chen, Toru Nakashika, Tetsuya Takiguchi, Yasuo Ariki:
Content-based Image Retrieval Using Rotation-invariant Histograms of Oriented Gradients. ICMR 2015: 443-446 - 2014
- [j1]Toru Nakashika, Tetsuya Takiguchi, Yasuo Ariki:
Voice Conversion Based on Speaker-Dependent Restricted Boltzmann Machines. IEICE Trans. Inf. Syst. 97-D(6): 1403-1410 (2014) - [c14]Toru Nakashika, Tetsuya Takiguchi, Yasuo Ariki:
Voice conversion in time-invariant speaker-independent space. ICASSP 2014: 7889-7893 - [c13]Ryo Aihara, Toru Nakashika, Tetsuya Takiguchi, Yasuo Ariki:
Voice conversion based on Non-negative matrix factorization using phoneme-categorized dictionary. ICASSP 2014: 7894-7898 - [c12]Toru Nakashika, Takafumi Hori, Tetsuya Takiguchi, Yasuo Ariki:
3D-Object Recognition Based on LLC Using Depth Spatial Pyramid. ICPR 2014: 4224-4228 - [c11]Toru Nakashika, Tetsuya Takiguchi, Yasuo Ariki:
High-order sequence modeling using speaker-dependent recurrent temporal restricted boltzmann machines for voice conversion. INTERSPEECH 2014: 2278-2282 - [c10]E. Byambakhishig, Katsuyuki Tanaka, Ryo Aihara, Toru Nakashika, Tetsuya Takiguchi, Yasuo Ariki:
Error correction of automatic speech recognition based on normalized web distance. INTERSPEECH 2014: 2852-2856 - 2013
- [c9]Julien N. P. Martel, Toru Nakashika, Christophe Garcia
, Khalid Idrissi:
A Combination of Hand-Crafted and Hierarchical High-Level Learnt Feature Extraction for Music Genre Classification. ICANN 2013: 397-404 - [c8]Toru Nakashika, Takeshi Okumura, Tetsuya Takiguchi, Yasuo Ariki:
Sparse representation for outliers suppression in semi-supervised image annotation. ICASSP 2013: 2080-2083 - [c7]Toru Nakashika, Ryoichi Takashima, Tetsuya Takiguchi, Yasuo Ariki:
Voice conversion in high-order eigen space using deep belief nets. INTERSPEECH 2013: 369-372 - [c6]Toru Nakashika, Tetsuya Takiguchi, Yasuo Ariki:
High-Frequency Restoration Using Deep Belief Nets for Super-resolution. SITIS 2013: 38-42 - 2012
- [c5]Toru Nakashika, Christophe Garcia, Tetsuya Takiguchi:
Local-feature-map Integration Using Convolutional Neural Networks for Music Genre Classification. INTERSPEECH 2012: 1752-1755 - 2011
- [c4]Toru Nakashika, Akira Suga, Tetsuya Takiguchi, Yasuo Ariki:
Generic object recognition using automatic region extraction and dimensional feature integration utilizing multiple kernel learning. ICASSP 2011: 1229-1232 - [c3]Toru Nakashika, Tetsuya Takiguchi, Yasuo Ariki:
Probabilistic Spectrum Envelope: Categorized Audio-Features Representation for NMF-Based Sound Decomposition. INTERSPEECH 2011: 1765-1768 - [c2]Toru Nakashika, Tetsuya Takiguchi, Yasuo Ariki:
Constrained Spectrum Generation Using A Probabilistic Spectrum Envelope for Mixed Music Analysis. ISMIR 2011: 181-184 - 2010
- [c1]Toru Nakashika, Ryuki Tachibana, Masafumi Nishimura, Tetsuya Takiguchi, Yasuo Ariki:
Speech synthesis by modeling harmonics structure with multiple function. INTERSPEECH 2010: 945-948
Coauthor Index
![](https://dblp1.uni-trier.de/img/cog.dark.24x24.png)
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 2024-04-24 23:10 CEST by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint