Monaural sound-source-direction estimation using the acoustic transfer function of an active microphone. - Ryoichi Takashima; Tetsuya Takiguchi; Yasuo Ariki (FUSION, 2009)

Single-Channel Talker Localization Based on Discrimination of Acoustic Transfer Functions. - Tetsuya Takiguchi; Yuji Sumida; Ryoichi Takashima; Yasuo Ariki (EURASIP J. Adv. Signal Process., 2009)

HMM-based separation of acoustic transfer function for single-channel sound source localization. - Ryoichi Takashima; Tetsuya Takiguchi; Yasuo Ariki (ICASSP, 2010)

Feature selection based on Multiple Kernel Learning for single-channel sound source localization using the acoustic transfer function. - Ryoichi Takashima; Tetsuya Takiguchi; Yasuo Ariki (ICASSP, 2011)

Agglomerative Hierarchical Clustering of Emotions in Speech Based on Subjective Relative Similarity. - Ryoichi Takashima; Tohru Nagano; Ryuki Tachibana; Masafumi Nishimura (INTERSPEECH, 2011)

Single-Channel Head Orientation Estimation Based on Discrimination of Acoustic Transfer Function. - Ryoichi Takashima; Tetsuya Takiguchi; Yasuo Ariki (INTERSPEECH, 2011)

Consonant enhancement for articulation disorders based on non-negative matrix factorization. - Ryo Aihara; Ryoichi Takashima; Tetsuya Takiguchi; Yasuo Ariki (APSIPA, 2012)

An adaboost-based weighting method for localizing human brain magnetic activity. - Tetsuya Takiguchi; Ryoichi Takashima; Yasuo Ariki; Toshiaki Imada; Jo-Fu Lotus Lin; Patricia K. Kuhl; Masaki Kawakatsu; Makoto Kotani (APSIPA, 2012)

Robust feature extraction to utterance fluctuations due to articulation disorders based on sparse expression. - Toshiya Yoshioka; Ryoichi Takashima; Tetsuya Takiguchi; Yasuo Ariki (APSIPA, 2012)

A new multiple-kernel-learning weighting method for localizing human brain magnetic activity. - Tetsuya Takiguchi; Toshiaki Imada; Ryoichi Takashima; Yasuo Ariki; Jo-Fu Lotus Lin; Patricia K. Kuhl; Masaki Kawakatsu; Makoto Kotani (ICASSP, 2012)

Estimation of Talker's Head Orientation Based on Discrimination of the Shape of Cross-power Spectrum Phase Coefficients. - Ryoichi Takashima; Tetsuya Takiguchi; Yasuo Ariki (INTERSPEECH, 2012)

Exemplar-based voice conversion in noisy environment. - Ryoichi Takashima; Tetsuya Takiguchi; Yasuo Ariki (SLT, 2012)

Individuality-preserving voice conversion for articulation disorders based on non-negative matrix factorization. - Ryo Aihara; Ryoichi Takashima; Tetsuya Takiguchi; Yasuo Ariki (ICASSP, 2013)

Prediction of unlearned position based on local regression for single-channel talker localization using acoustic transfer function. - Ryoichi Takashima; Tetsuya Takiguchi; Yasuo Ariki (ICASSP, 2013)

Exemplar-based individuality-preserving voice conversion for articulation disorders in noisy environments. - Ryo Aihara; Ryoichi Takashima; Tetsuya Takiguchi; Yasuo Ariki (INTERSPEECH, 2013)

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

Voice conversion based on Non-negative Matrix Factorization in noisy environments. - Takao Fujii; Ryo Aihara; Ryoichi Takashima; Tetsuya Takiguchi; Yasuo Ariki (SII, 2013)

Noise-robust voice conversion based on spectral mapping on sparse space. - Ryoichi Takashima; Ryo Aihara; Tetsuya Takiguchi; Yasuo Ariki (SSW, 2013)

Exemplar-Based Voice Conversion Using Sparse Representation in Noisy Environments. - Ryoichi Takashima; Tetsuya Takiguchi; Yasuo Ariki (IEICE Trans. Fundam. Electron. Commun. Comput. Sci., 2013)

Frequency domain acoustic echo reduction based on Kalman smoother with time-varying noise covariance matrix. - Masahito Togami; Yohei Kawaguchi; Ryoichi Takashima (ICASSP, 2014)

A preliminary demonstration of exemplar-based voice conversion for articulation disorders using an individuality-preserving dictionary. - Ryo Aihara; Ryoichi Takashima; Tetsuya Takiguchi; Yasuo Ariki (EURASIP J. Audio Speech Music. Process., 2014)

Noise-Robust Voice Conversion Based on Sparse Spectral Mapping Using Non-negative Matrix Factorization. - Ryo Aihara; Ryoichi Takashima; Tetsuya Takiguchi; Yasuo Ariki (IEICE Trans. Inf. Syst., 2014)

Unified ASR system using LGM-based source separation, noise-robust feature extraction, and word hypothesis selection. - Yusuke Fujita; Ryoichi Takashima; Takeshi Homma; Rintaro Ikeshita; Yohei Kawaguchi; Takashi Sumiyoshi; Takashi Endo; Masahito Togami (ASRU, 2015)

Data Augmentation Using Multi-Input Multi-Output Source Separation for Deep Neural Network Based Acoustic Modeling. - Yusuke Fujita; Ryoichi Takashima; Takeshi Homma; Masahito Togami (INTERSPEECH, 2016)

Solving permutation problem with a cascade combination of phase difference entropy and power spectral correlation. - Masahito Togami; Ryoichi Takashima; Yusuke Fujita (IWAENC, 2016)

Sub-Nyquist non-uniform sampling for low-cost sound monitoring. - Yohei Kawaguchi; Sandra Ramaswami; Ryoichi Takashima; Takashi Endo; Rintaro Ikeshita (APSIPA, 2017)

Time-domain subsampling and reconstruction for microphone array. - Yohei Kawaguchi; Ryoichi Takashima; Takashi Endo; Masahito Togami (APSIPA, 2017)

An application of noise-robust speech translation using asynchronous smart devices. - Ryoichi Takashima; Yohei Kawaguchi; Qinghua Sun; Takashi Sumiyoshi; Masahito Togami (APSIPA, 2017)

Incremental training and constructing the very deep convolutional residual network acoustic models. - Sheng Li 010; Xugang Lu; Peng Shen; Ryoichi Takashima; Tatsuya Kawahara; Hisashi Kawai (ASRU, 2017)

ADMM-based audio reconstruction for low-cost-sound-monitoring. - Sandra Ramaswami; Yohei Kawaguchi; Ryoichi Takashima; Takashi Endo; Masahito Togami (EUSIPCO, 2017)

Separation of vibration-derived sound signals based on fusion processing of vibration sensors and microphones. - Ryoichi Takashima; Yohei Kawaguchi; Masahito Togami (EUSIPCO, 2017)

An Investigation of a Knowledge Distillation Method for CTC Acoustic Models. - Ryoichi Takashima; Sheng Li 010; Hisashi Kawai (ICASSP, 2018)

CTC Loss Function with a Unit-Level Ambiguity Penalty. - Ryoichi Takashima; Sheng Li 010; Hisashi Kawai (ICASSP, 2018)

Improving CTC-based Acoustic Model with Very Deep Residual Time-delay Neural Networks. - Sheng Li 010; Xugang Lu; Ryoichi Takashima; Peng Shen; Tatsuya Kawahara; Hisashi Kawai (INTERSPEECH, 2018)

Improving Very Deep Time-Delay Neural Network With Vertical-Attention For Effectively Training CTC-Based ASR Systems. - Sheng Li 010; Xugang Lu; Ryoichi Takashima; Peng Shen; Tatsuya Kawahara; Hisashi Kawai (SLT, 2018)

Investigation of Sequence-level Knowledge Distillation Methods for CTC Acoustic Models. - Ryoichi Takashima; Sheng Li 010; Hisashi Kawai (ICASSP, 2019)

Auxiliary Interference Speaker Loss for Target-Speaker Speech Recognition. - Naoyuki Kanda; Shota Horiguchi; Ryoichi Takashima; Yusuke Fujita; Kenji Nagamatsu; Shinji Watanabe 001 (INTERSPEECH, 2019)

Knowledge Transferability Between the Speech Data of Persons With Dysarthria Speaking Different Languages for Dysarthric Speech Recognition. - Yuki Takashima; Ryoichi Takashima; Tetsuya Takiguchi; Yasuo Ariki (IEEE Access, 2019)

FasterRCNN Monitoring of Road Damages: Competition and Deployment. - Tristan Hascoet; Yihao Zhang; Andreas Persch; Ryoichi Takashima; Tetsuya Takiguchi; Yasuo Ariki (IEEE BigData, 2020)

Opera Singing Voice Synthesis Considering Vowel Variations. - Kenta Katahira; Yuji Adachi; Kiyoto Tai; Ryoichi Takashima; Tetsuya Takiguchi (GCCE, 2020)

An Investigation of End-to-End Speech Recognition Using Model Adaptation for Dysarthric Speakers. - Yuya Sawa; Ryoichi Takashima; Tetsuya Takiguchi (GCCE, 2020)

Convolutional neural networks Memory optimization Inference with Splitting Image. - Weihao Zhuang; Tristan Hascoet; Ryoichi Takashima; Tetsuya Takiguchi; Yasuo Ariki (GCCE, 2020)

Two-Step Acoustic Model Adaptation for Dysarthric Speech Recognition. - Ryoichi Takashima; Tetsuya Takiguchi; Yasuo Ariki (ICASSP, 2020)

Dysarthric Speech Recognition Based on Deep Metric Learning. - Yuki Takashima; Ryoichi Takashima; Tetsuya Takiguchi; Yasuo Ariki (INTERSPEECH, 2020)

Data Augmentation Based on Frequency Warping for Recognition of Cleft Palate Speech. - Kento Fujiwara; Ryoichi Takashima; Chihiro Sugiyama; Nobukazu Tanaka; Kanji Nohara; Kazunori Nozaki; Tetsuya Takiguchi (APSIPA ASC, 2021)

High-Intelligibility Speech Synthesis for Dysarthric Speakers with LPCNet-Based TTS and CycleVAE-Based VC. - Keisuke Matsubara; Takuma Okamoto; Ryoichi Takashima; Tetsuya Takiguchi; Tomoki Toda; Yoshinori Shiga; Hisashi Kawai (ICASSP, 2021)

Full-Band LPCNet: A Real-Time Neural Vocoder for 48 kHz Audio With a CPU. - Keisuke Matsubara; Takuma Okamoto; Ryoichi Takashima; Tetsuya Takiguchi; Tomoki Toda; Yoshinori Shiga; Hisashi Kawai (IEEE Access, 2021)

Unsupervised domain adaptation for lip reading based on cross-modal knowledge distillation. - Yuki Takashima; Ryoichi Takashima; Ryota Tsunoda; Ryo Aihara; Tetsuya Takiguchi; Yasuo Ariki; Nobuaki Motoyama (EURASIP J. Audio Speech Music. Process., 2021)

Multimodal fusion for indoor sound source localization. - Jinhui Chen; Ryoichi Takashima; Xingchen Guo; Zhihong Zhang 001; Xuexin Xu; Tetsuya Takiguchi; Edwin R. Hancock (Pattern Recognit., 2021)

Binary Attribute Embeddings for Zero-Shot Sound Event Classification. - Yihan Lin; Xunquan Chen; Ryoichi Takashima; Tetsuya Takiguchi (GCCE, 2022)

Speaker-Targeted Audio-Visual Speech Recognition Using a Hybrid CTC/Attention Model with Interference Loss. - Ryota Tsunoda; Ryo Aihara; Ryoichi Takashima; Tetsuya Takiguchi; Yoshie Imai (ICASSP, 2022)

Data Augmentation for Dysarthric Speech Recognition Based on Text-to-Speech Synthesis. - Yuki Matsuzaka; Ryoichi Takashima; Chiho Sasaki; Tetsuya Takiguchi (LifeTech, 2022)

Adaptation of a Pronunciation Dictionary for Dysarthric Speech Recognition. - Yuya Sawa; Ryoichi Takashima; Tetsuya Takiguchi (LifeTech, 2022)

Comparative Evaluation of Neural Vocoders for Speech Synthesis of Operatic Singing. - Sota Shimizu; Keisuke Matsubara; Yuji Adachi; Kiyoto Tai; Ryoichi Takashima; Tetsuya Takiguchi (LifeTech, 2022)

MEG Source Localization Using Deep Prior. - Rio Yamana; Hajime Yano; Ryoichi Takashima; Tetsuya Takiguchi; Seiji Nakagawa (LifeTech, 2022)

Current Source Localization Using Deep Prior with Depth Weighting. - Rio Yamana; Hajime Yano; Ryoichi Takashima; Tetsuya Takiguchi; Seiji Nakagawa (CoRR, 2022)

Optical Flow Regularization of Implicit Neural Representations for Video Frame Interpolation. - Weihao Zhuang; Tristan Hascoet; Ryoichi Takashima; Tetsuya Takiguchi (CoRR, 2022)

Learn to See Faster: Pushing the Limits of High-Speed Camera with Deep Underexposed Image Denoising. - Weihao Zhuang; Tristan Hascoet; Ryoichi Takashima; Tetsuya Takiguchi (CoRR, 2022)

Phoneme-guided Dysarthric speech conversion With non-parallel data by joint training. - Xunquan Chen; Atsuki Oshiro; Jinhui Chen; Ryoichi Takashima; Tetsuya Takiguchi (Signal Image Video Process., 2022)

Operatic Singing Voice Synthesis Using Diff-SVC. - Aoto Sugahara; Soma Kishimoto; Yuji Adachi; Kiyoto Tai; Ryoichi Takashima; Tetsuya Takiguchi (GCCE, 2023)

EEG Source Estimation Using Deep Prior Without a Subject's Individual Lead Field. - Naoki Hojo; Hajime Yano; Ryoichi Takashima; Tetsuya Takiguchi; Seiji Nakagawa (ICASSP Workshops, 2023)

Zero-Shot Sound Event Classification Using a Sound Attribute Vector with Global and Local Feature Learning. - Yihan Lin; Xunquan Chen; Ryoichi Takashima; Tetsuya Takiguchi (ICASSP, 2023)

Harmonic-Net: Fundamental Frequency and Speech Rate Controllable Fast Neural Vocoder. - Keisuke Matsubara; Takuma Okamoto; Ryoichi Takashima; Tetsuya Takiguchi; Tomoki Toda; Hisashi Kawai (IEEE ACM Trans. Audio Speech Lang. Process., 2023)

Individuality-Preserving Speech Synthesis for Spinal Muscular Atrophy with a Tracheotomy. - Minori Iwata; Ryoichi Takashima; Chiho Sasaki; Tetsuya Takiguchi (ASSETS, 2024)

Self-supervised learning using unlabeled speech with multiple types of speech disorder for disordered speech recognition. - Ryoichi Takashima; Takeru Otani; Ryo Aihara; Tetsuya Takiguchi; Shinya Taguchi (ASSETS, 2024)

Generation of Colored Subtitle Images Based on Emotional Information of Speech Utterances. - Ryoichi Takashima; Fumiya Nakamura; Ryo Aihara; Tetsuya Takiguchi; Yusuke Itani (EUSIPCO, 2024)

Representation Learning Based on Variational Autoencoders for Imagined Speech Classification. - Hajime Yano; Ryoichi Takashima; Tetsuya Takiguchi; Seiji Nakagawa (EUSIPCO, 2024)

Speech Recognition for a Person With Cerebral Palsy Using Whisper Fine-Tuned on Japanese and English Dysarthric Speech. - Kirito Haze; Ryoichi Takashima; Tetsuya Takiguchi (GCCE, 2024)

Training of VITS Model Reflecting the Duration of a Physically Unimpaired Speaker for a Text-to-speech System for a Person with a Stutter. - Ryo Nagakubo; Haruki Yamashita; Ryoichi Takashima; Misuzu Yasui; Tetsuya Takiguchi (GCCE, 2024)

Dysarthric Speech Recognition Using Pseudo-Labeling, Self-Supervised Feature Learning, and a Joint Multi-Task Learning Approach. - Ryoichi Takashima; Yuya Sawa; Ryo Aihara; Tetsuya Takiguchi; Yoshie Imai (IEEE Access, 2024)

Fast Neural Speech Waveform Generative Models With Fully-Connected Layer-Based Upsampling. - Haruki Yamashita; Takuma Okamoto; Ryoichi Takashima; Yamato Ohtani; Tetsuya Takiguchi; Tomoki Toda; Hisashi Kawai (IEEE Access, 2024)

Operatic Singing Voice Synthesis From Inexperienced Voice Considering Tempo and Vowel Change. - Aoto Sugahara; Soma Kishimoto; Yuji Adachi; Kiyoto Tai; Ryoichi Takashima; Tetsuya Takiguchi (MMM (3), 2025)

Prefix tuning with prompt augmentation for efficient financial news summarization. - Shangyang Mou; Qiang Xue; Xunquan Chen; Jinhui Chen; Ryoichi Takashima; Tetsuya Takiguchi; Yasuo Ariki (J. Comput. Soc. Sci., 2025)