Speaker-independent style conversion for HMM-based expressive speech synthesis. - Hiroki Kanagawa; Takashi Nose; Takao Kobayashi (ICASSP, 2013)

Feature-space structural MAPLR with regression tree-based multiple transformation matrices for DNN. - Hiroki Kanagawa; Yuuki Tachioka; Shinji Watanabe 001; Jun Ishii (APSIPA, 2015)

Efficient Building Strategy with Knowledge Distillation for Small-Footprint Acoustic Models. - Takafumi Moriya; Hiroki Kanagawa; Kiyoaki Matsui; Takaaki Fukutomi; Yusuke Shinohara; Yoshikazu Yamaguchi; Manabu Okamoto; Yushi Aono (SLT, 2018)

Multi-Speaker Modeling for DNN-based Speech Synthesis Incorporating Generative Adversarial Networks. - Hiroki Kanagawa; Yusuke Ijima (SSW, 2019)

Lightweight LPCNet-Based Neural Vocoder with Tensor Decomposition. - Hiroki Kanagawa; Yusuke Ijima (INTERSPEECH, 2020)

Multi-Sample Subband Wavernn Via Multivariate Gaussian. - Hiroki Kanagawa; Yusuke Ijima (ICASSP, 2022)

Joint Modeling of Multi-Sample and Subband Signals for Fast Neural Vocoding on CPU. - Hiroki Kanagawa; Yusuke Ijima; Hiroyuki Toda (INTERSPEECH, 2022)

SIMD-Size Aware Weight Regularization for Fast Neural Vocoding on CPU. - Hiroki Kanagawa; Yusuke Ijima (SLT, 2022)

Zero-Shot Text-to-Speech Synthesis Conditioned Using Self-Supervised Speech Representation Model. - Kenichi Fujita; Takanori Ashihara; Hiroki Kanagawa; Takafumi Moriya; Yusuke Ijima (ICASSP Workshops, 2023)

Enhancement of Text-Predicting Style Token With Generative Adversarial Network for Expressive Speech Synthesis. - Hiroki Kanagawa; Yusuke Ijima (ICASSP, 2023)

VC-T: Streaming Voice Conversion Based on Neural Transducer. - Hiroki Kanagawa; Takafumi Moriya; Yusuke Ijima (INTERSPEECH, 2023)

Noise-Robust Zero-Shot Text-to-Speech Synthesis Conditioned on Self-Supervised Speech-Representation Model with Adapters. - Kenichi Fujita; Hiroshi Sato; Takanori Ashihara; Hiroki Kanagawa; Marc Delcroix; Takafumi Moriya; Yusuke Ijima (ICASSP, 2024)

Knowledge Distillation from Self-Supervised Representation Learning Model with Discrete Speech Units for Any-to-Any Streaming Voice Conversion. - Hiroki Kanagawa; Yusuke Ijima (INTERSPEECH, 2024)

Pre-training Neural Transducer-based Streaming Voice Conversion for Faster Convergence and Alignment-free Training. - Hiroki Kanagawa; Takafumi Moriya; Yusuke Ijima (INTERSPEECH, 2024)

Multi-interaction TTS toward professional recording reproduction. - Hiroki Kanagawa; Kenichi Fujita; Aya Watanabe; Yusuke Ijima (CoRR, 2025)