Speech synthesis by modeling harmonics structure with multiple function. - Toru Nakashika; Ryuki Tachibana; Masafumi Nishimura; Tetsuya Takiguchi; Yasuo Ariki (INTERSPEECH, 2010)

Generic object recognition using automatic region extraction and dimensional feature integration utilizing multiple kernel learning. - Toru Nakashika; Akira Suga; Tetsuya Takiguchi; Yasuo Ariki (ICASSP, 2011)

Probabilistic Spectrum Envelope: Categorized Audio-Features Representation for NMF-Based Sound Decomposition. - Toru Nakashika; Tetsuya Takiguchi; Yasuo Ariki (INTERSPEECH, 2011)

Constrained Spectrum Generation Using A Probabilistic Spectrum Envelope for Mixed Music Analysis. - Toru Nakashika; Tetsuya Takiguchi; Yasuo Ariki (ISMIR, 2011)

Local-feature-map Integration Using Convolutional Neural Networks for Music Genre Classification. - Toru Nakashika; Christophe Garcia; Tetsuya Takiguchi (INTERSPEECH, 2012)

A Combination of Hand-Crafted and Hierarchical High-Level Learnt Feature Extraction for Music Genre Classification. - Julien N. P. Martel; Toru Nakashika; Christophe Garcia; Khalid Idrissi (ICANN, 2013)

Sparse representation for outliers suppression in semi-supervised image annotation. - Toru Nakashika; Takeshi Okumura; Tetsuya Takiguchi; Yasuo Ariki (ICASSP, 2013)

Voice conversion in high-order eigen space using deep belief nets. - Toru Nakashika; Ryoichi Takashima; Tetsuya Takiguchi; Yasuo Ariki (INTERSPEECH, 2013)

High-Frequency Restoration Using Deep Belief Nets for Super-resolution. - Toru Nakashika; Tetsuya Takiguchi; Yasuo Ariki (SITIS, 2013)

Voice conversion based on Non-negative matrix factorization using phoneme-categorized dictionary. - Ryo Aihara; Toru Nakashika; Tetsuya Takiguchi; Yasuo Ariki (ICASSP, 2014)

Voice conversion in time-invariant speaker-independent space. - Toru Nakashika; Tetsuya Takiguchi; Yasuo Ariki (ICASSP, 2014)

3D-Object Recognition Based on LLC Using Depth Spatial Pyramid. - Toru Nakashika; Takafumi Hori; Tetsuya Takiguchi; Yasuo Ariki (ICPR, 2014)

Error correction of automatic speech recognition based on normalized web distance. - E. Byambakhishig; Katsuyuki Tanaka; Ryo Aihara; Toru Nakashika; Tetsuya Takiguchi; Yasuo Ariki (INTERSPEECH, 2014)

High-order sequence modeling using speaker-dependent recurrent temporal restricted boltzmann machines for voice conversion. - Toru Nakashika; Tetsuya Takiguchi; Yasuo Ariki (INTERSPEECH, 2014)

Voice Conversion Based on Speaker-Dependent Restricted Boltzmann Machines. - Toru Nakashika; Tetsuya Takiguchi; Yasuo Ariki (IEICE Trans. Inf. Syst., 2014)

Noise-robust voice conversion using a small parallel data based on non-negative matrix factorization. - Ryo Aihara; Takao Fujii; Toru Nakashika; Tetsuya Takiguchi; Yasuo Ariki (EUSIPCO, 2015)

Feature extraction using pre-trained convolutive bottleneck nets for dysarthric speech recognition. - Yuki Takashima; Toru Nakashika; Tetsuya Takiguchi; Yasuo Ariki (EUSIPCO, 2015)

Sparse nonlinear representation for voice conversion. - Toru Nakashika; Tetsuya Takiguchi; Yasuo Ariki (ICME, 2015)

Content-based Image Retrieval Using Rotation-invariant Histograms of Oriented Gradients. - Jinhui Chen; Toru Nakashika; Tetsuya Takiguchi; Yasuo Ariki (ICMR, 2015)

Small-parallel exemplar-based voice conversion in noisy environments using affine non-negative matrix factorization. - Ryo Aihara; Takao Fujii; Toru Nakashika; Tetsuya Takiguchi; Yasuo Ariki (EURASIP J. Audio Speech Music. Process., 2015)

Voice conversion using speaker-dependent conditional restricted Boltzmann machine. - Toru Nakashika; Tetsuya Takiguchi; Yasuo Ariki (EURASIP J. Audio Speech Music. Process., 2015)

Voice Conversion Using RNN Pre-Trained by Recurrent Temporal Restricted Boltzmann Machines. - Toru Nakashika; Tetsuya Takiguchi; Yasuo Ariki (IEEE ACM Trans. Audio Speech Lang. Process., 2015)

Selection of an optimum random matrix using a genetic algorithm for acoustic feature extraction. - Yuichiro Kataoka; Toru Nakashika; Ryo Aihara; Tetsuya Takiguchi; Yasuo Ariki (ICIS, 2016)

3WRBM-based speech factor modeling for arbitrary-source and non-parallel voice conversion. - Toru Nakashika; Yasuhiro Minami (EUSIPCO, 2016)

Speaker adaptive model based on Boltzmann machine for non-parallel training in voice conversion. - Toru Nakashika; Yasuhiro Minami (ICASSP, 2016)

Modeling deep bidirectional relationships for image classification and generation. - Toru Nakashika; Tetsuya Takiguchi; Yasuo Ariki (ICASSP, 2016)

Generative Acoustic-Phonemic-Speaker Model Based on Three-Way Restricted Boltzmann Machine. - Toru Nakashika; Yasuhiro Minami (INTERSPEECH, 2016)

Non-Parallel Training in Voice Conversion Using an Adaptive Restricted Boltzmann Machine. - Toru Nakashika; Tetsuya Takiguchi; Yasuhiro Minami (IEEE ACM Trans. Audio Speech Lang. Process., 2016)

CAB: An Energy-Based Speaker Clustering Model for Rapid Adaptation in Non-Parallel Voice Conversion. - Toru Nakashika (INTERSPEECH, 2017)

Complex-Valued Restricted Boltzmann Machine for Direct Learning of Frequency Spectra. - Toru Nakashika; Shinji Takaki; Junichi Yamagishi (INTERSPEECH, 2017)

Speaker-adaptive-trainable Boltzmann machine and its application to non-parallel voice conversion. - Toru Nakashika; Yasuhiro Minami (EURASIP J. Audio Speech Music. Process., 2017)

Parallel-Data-Free Dictionary Learning for Voice Conversion Using Non-Negative Tucker Decomposition. - Yuki Takashima; Hajime Yano; Toru Nakashika; Tetsuya Takiguchi; Yasuo Ariki (ICASSP, 2018)

LSTBM: A Novel Sequence Representation of Speech Spectra Using Restricted Boltzmann Machine with Long Short-Term Memory. - Toru Nakashika (INTERSPEECH, 2018)

DNN-based Speech Synthesis for Small Data Sets Considering Bidirectional Speech-Text Conversion. - Kentaro Sone; Toru Nakashika (INTERSPEECH, 2018)

Bidirectional Voice Conversion Based on Joint Training Using Gaussian-Gaussian Deep Relational Model. - Kentaro Sone; Shinji Takaki; Toru Nakashika (Odyssey, 2018)

Complex-Valued Restricted Boltzmann Machine for Direct Speech Parameterization from Complex Spectra. - Toru Nakashika; Shinji Takaki; Junichi Yamagishi (CoRR, 2018)

Deep Relational Model: A Joint Probabilistic Model with a Hierarchical Structure for Bidirectional Estimation of Image and Labels. - Toru Nakashika (IEICE Trans. Inf. Syst., 2018)

STFT Spectral Loss for Training a Neural Speech Waveform Model. - Shinji Takaki; Toru Nakashika; Xin Wang 037; Junichi Yamagishi (ICASSP, 2019)

Non-parallel dictionary learning for voice conversion using non-negative Tucker decomposition. - Yuki Takashima; Toru Nakashika; Tetsuya Takiguchi; Yasuo Ariki (EURASIP J. Audio Speech Music. Process., 2019)

Pre-Training of DNN-Based Speech Synthesis Based on Bidirectional Conversion between Text and Speech. - Kentaro Sone; Toru Nakashika (IEICE Trans. Inf. Syst., 2019)

Complex-Valued Restricted Boltzmann Machine for Speaker-Dependent Speech Parameterization From Complex Spectra. - Toru Nakashika; Shinji Takaki; Junichi Yamagishi (IEEE ACM Trans. Audio Speech Lang. Process., 2019)

Gamma Boltzmann Machine for Simultaneously Modeling Linear- and Log-amplitude Spectra. - Toru Nakashika; Kohei Yatabe (APSIPA, 2020)

Simultaneous Conversion of Speaker Identity and Emotion Based on Multiple-Domain Adaptive RBM. - Takuya Kishida; Shin Tsukamoto; Toru Nakashika (INTERSPEECH, 2020)

Complex-Valued Variational Autoencoder: A Novel Deep Generative Model for Direct Representation of Complex Spectra. - Toru Nakashika (INTERSPEECH, 2020)

Many-to-Many Symbolic Multi-Track Music Genre Transfer. - Michel Pezzat; Héctor Manuel Pérez Meana; Toru Nakashika; Mariko Nakano (SoMeT, 2020)

Speech Chain VC: Linking Linguistic and Acoustic Levels via Latent Distinctive Features for RBM-Based Voice Conversion. - Takuya Kishida; Toru Nakashika (IEICE Trans. Inf. Syst., 2020)

Acoustic Scenery Recognition Using CWT and Deep Neural Network. - Francisco Mondragon; Jonathan Jimenez; Mariko Nakano; Toru Nakashika; Héctor Pérez-Meana (SoMeT, 2021)

Gamma Boltzmann Machine for Audio Modeling. - Toru Nakashika; Kohei Yatabe (IEEE ACM Trans. Audio Speech Lang. Process., 2021)

DDPMVC: Non-parallel any-to-many voice conversion using diffusion encoder. - Ryuichi Hatakeyama; Kohei Okuda; Toru Nakashika (APSIPA, 2024)

Gamma-VAE: Speech representation based on VAE assuming gamma distribution for both latent variables and observation. - Nanako Imaichi; Toru Nakashika (APSIPA, 2024)

An Investigation on the Speech Recovery from EEG Signals Using Transformer. - Tomoaki Mizuno; Takuya Kishida; Natsue Yoshimura; Toru Nakashika (APSIPA, 2024)

Fast and Lightweight Non-Parallel Voice Conversion Based on Free-Energy Minimization of Speaker-Conditional Restricted Boltzmann Machine. - Takuya Kishida; Toru Nakashika (IEICE Trans. Inf. Syst., 2025)