Yusuke Ijima

According to our database, Yusuke Ijima authored at least 55 papers between 2008 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Speech Rhythm-Based Speaker Embeddings Extraction from Phonemes and Phoneme Duration for Multi-Speaker Speech Synthesis.

Kenichi Fujita, Atsushi Ando, Yusuke Ijima

IEICE Trans. Inf. Syst., January, 2024

Lightweight Zero-shot Text-to-Speech with Mixture of Adapters.

Kenichi Fujita, Takanori Ashihara, Marc Delcroix, Yusuke Ijima

CoRR, 2024

Unveiling the Linguistic Capabilities of a Self-Supervised Speech Model Through Cross-Lingual Benchmark and Layer- Wise Similarity Analysis.

Takanori Ashihara, Marc Delcroix, Yusuke Ijima, Makio Kashino

IEEE Access, 2024

STYLECAP: Automatic Speaking-Style Captioning from Speech Based on Speech and Language Self-Supervised Learning Models.

Kazuki Yamauchi, Yusuke Ijima, Yuki Saito

Proceedings of the IEEE International Conference on Acoustics, 2024

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

Proceedings of the IEEE International Conference on Acoustics, 2024

What Do Self-Supervised Speech and Speaker Models Learn? New Findings from a Cross Model Layer-Wise Analysis.

Takanori Ashihara, Marc Delcroix, Takafumi Moriya, Kohei Matsuura, Taichi Asami, Yusuke Ijima

Proceedings of the IEEE International Conference on Acoustics, 2024

2023

Influence of Personal Traits on Impressions of One's Own Voice.

Hikaru Yanagida, Yusuke Ijima, Naohiro Tawara

Proceedings of the 24th Annual Conference of the International Speech Communication Association, 2023

A stimulus-organism-response model of willingness to buy from advertising speech using voice quality.

Mizuki Nagano, Yusuke Ijima, Sadao Hiroya

Proceedings of the 24th Annual Conference of the International Speech Communication Association, 2023

VC-T: Streaming Voice Conversion Based on Neural Transducer.

Hiroki Kanagawa, Takafumi Moriya, Yusuke Ijima

Proceedings of the 24th Annual Conference of the International Speech Communication Association, 2023

SpeechGLUE: How Well Can Self-Supervised Speech Models Capture Linguistic Knowledge?

Takanori Ashihara, Takafumi Moriya, Kohei Matsuura, Tomohiro Tanaka, Yusuke Ijima, Taichi Asami, Marc Delcroix, Yukinori Honma

Proceedings of the 24th Annual Conference of the International Speech Communication Association, 2023

Enhancement of Text-Predicting Style Token With Generative Adversarial Network for Expressive Speech Synthesis.

Hiroki Kanagawa, Yusuke Ijima

Proceedings of the IEEE International Conference on Acoustics, 2023

Zero-Shot Text-to-Speech Synthesis Conditioned Using Self-Supervised Speech Representation Model.

Kenichi Fujita, Takanori Ashihara, Hiroki Kanagawa, Takafumi Moriya, Yusuke Ijima

Proceedings of the IEEE International Conference on Acoustics, 2023

2022

SIMD-Size Aware Weight Regularization for Fast Neural Vocoding on CPU.

Hiroki Kanagawa, Yusuke Ijima

Proceedings of the IEEE Spoken Language Technology Workshop, 2022

Automated Recognition of Off Phenomenon in Parkinson's Disease During Walking : - Measurement in Daily Life with Wearable Device -.

Yusuke Ijima, Yuta Furudate, Kaori Chiba, Yuji Ishida, Sadayoshi Mikami

Proceedings of the 4th IEEE Global Conference on Life Sciences and Technologies, 2022

Predicting VQVAE-based Character Acting Style from Quotation-Annotated Text for Audiobook Speech Synthesis.

Wataru Nakata, Tomoki Koriyama, Shinnosuke Takamichi, Yuki Saito, Yusuke Ijima, Ryo Masumura, Hiroshi Saruwatari

Proceedings of the 23rd Annual Conference of the International Speech Communication Association, 2022

Joint Modeling of Multi-Sample and Subband Signals for Fast Neural Vocoding on CPU.

Hiroki Kanagawa, Yusuke Ijima, Hiroyuki Toda

Proceedings of the 23rd Annual Conference of the International Speech Communication Association, 2022

Multi-Sample Subband Wavernn Via Multivariate Gaussian.

Hiroki Kanagawa, Yusuke Ijima

Proceedings of the IEEE International Conference on Acoustics, 2022

2021

Model architectures to extrapolate emotional expressions in DNN-based text-to-speech.

Katsuki Inoue, Sunao Hara, Masanobu Abe, Nobukatsu Hojo, Yusuke Ijima

Speech Commun., 2021

Audiobook Speech Synthesis Conditioned by Cross-Sentence Context-Aware Word Embeddings.

Wataru Nakata, Tomoki Koriyama, Shinnosuke Takamichi, Naoko Tanji, Yusuke Ijima, Ryo Masumura, Hiroshi Saruwatari

Proceedings of the 11th ISCA Speech Synthesis Workshop, 2021

Impact of Emotional State on Estimation of Willingness to Buy from Advertising Speech.

Mizuki Nagano, Yusuke Ijima, Sadao Hiroya

Proceedings of the 22nd Annual Conference of the International Speech Communication Association, Interspeech 2021, Brno, Czechia, August 30, 2021

Phonetic and Prosodic Information Estimation from Texts for Genuine Japanese End-to-End Text-to-Speech.

Naoto Kakegawa, Sunao Hara, Masanobu Abe, Yusuke Ijima

Proceedings of the 22nd Annual Conference of the International Speech Communication Association, Interspeech 2021, Brno, Czechia, August 30, 2021

Phoneme Duration Modeling Using Speech Rhythm-Based Speaker Embeddings for Multi-Speaker Speech Synthesis.

Kenichi Fujita, Atsushi Ando, Yusuke Ijima

Proceedings of the 22nd Annual Conference of the International Speech Communication Association, Interspeech 2021, Brno, Czechia, August 30, 2021

Simpleflat: A Simple Whole-Network Pre-Training Approach for RNN Transducer-Based End-to-End Speech Recognition.

Takafumi Moriya, Takanori Ashihara, Tomohiro Tanaka, Tsubasa Ochiai, Hiroshi Sato, Atsushi Ando, Yusuke Ijima, Ryo Masumura, Yusuke Shinohara

Proceedings of the IEEE International Conference on Acoustics, 2021

Speech Emotion Recognition Based on Listener Adaptive Models.

Atsushi Ando, Ryo Masumura, Hiroshi Sato, Takafumi Moriya, Takanori Ashihara, Yusuke Ijima, Tomoki Toda

Proceedings of the IEEE International Conference on Acoustics, 2021

Robust Speech-Age Estimation Using Local Maximum Mean Discrepancy Under Mismatched Recording Conditions.

Naohiro Tawara, Atsunori Ogawa, Yuki Kitagishi, Hosana Kamiyama, Yusuke Ijima

Proceedings of the IEEE Automatic Speech Recognition and Understanding Workshop, 2021

2020

DNN-based Speech Synthesis Using Abundant Tags of Spontaneous Speech Corpus.

Yuki Yamashita, Tomoki Koriyama, Yuki Saito, Shinnosuke Takamichi, Yusuke Ijima, Ryo Masumura, Hiroshi Saruwatari

Proceedings of The 12th Language Resources and Evaluation Conference, 2020

Investigating Effective Additional Contextual Factors in DNN-Based Spontaneous Speech Synthesis.

Yuki Yamashita, Tomoki Koriyama, Yuki Saito, Shinnosuke Takamichi, Yusuke Ijima, Ryo Masumura, Hiroshi Saruwatari

Proceedings of the 21st Annual Conference of the International Speech Communication Association, 2020

Lightweight LPCNet-Based Neural Vocoder with Tensor Decomposition.

Hiroki Kanagawa, Yusuke Ijima

Proceedings of the 21st Annual Conference of the International Speech Communication Association, 2020

2019

V2S attack: building DNN-based voice conversion from automatic speaker verification.

Taiki Nakamura, Yuki Saito, Shinnosuke Takamichi, Yusuke Ijima, Hiroshi Saruwatari

Proceedings of the 10th ISCA Speech Synthesis Workshop, 2019

Multi-Speaker Modeling for DNN-based Speech Synthesis Incorporating Generative Adversarial Networks.

Hiroki Kanagawa, Yusuke Ijima

Proceedings of the 10th ISCA Speech Synthesis Workshop, 2019

End-to-End Automatic Speech Recognition with a Reconstruction Criterion Using Speech-to-Text and Text-to-Speech Encoder-Decoders.

Ryo Masumura, Hiroshi Sato, Tomohiro Tanaka, Takafumi Moriya, Yusuke Ijima, Takanobu Oba

Proceedings of the 20th Annual Conference of the International Speech Communication Association, 2019

Can We Simulate Generative Process of Acoustic Modeling Data? Towards Data Restoration for Acoustic Modeling.

Ryo Masumura, Yusuke Ijima, Satoshi Kobashikawa, Takanobu Oba, Yushi Aono

Proceedings of the 2019 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, 2019

2018

DNN-Based Speech Synthesis Using Speaker Codes.

Nobukatsu Hojo, Yusuke Ijima, Hideyuki Mizuno

IEICE Trans. Inf. Syst., 2018

Non-Parallel Voice Conversion Using Variational Autoencoders Conditioned by Phonetic Posteriorgrams and D-Vectors.

Yuki Saito, Yusuke Ijima, Kyosuke Nishida, Shinnosuke Takamichi

Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

Neural Confnet Classification: Fully Neural Network Based Spoken Utterance Classification Using Word Confusion Networks.

Ryo Masumura, Yusuke Ijima, Taichi Asami, Hirokazu Masataki, Ryuichiro Higashinaka

Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

Soft-Target Training with Ambiguous Emotional Utterances for DNN-Based Speech Emotion Classification.

Atsushi Ando, Satoshi Kobashikawa, Hosana Kamiyama, Ryo Masumura, Yusuke Ijima, Yushi Aono

Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

2017

Prosody Aware Word-Level Encoder Based on BLSTM-RNNs for DNN-Based Speech Synthesis.

Yusuke Ijima, Nobukatsu Hojo, Ryo Masumura, Taichi Asami

Proceedings of the 18th Annual Conference of the International Speech Communication Association, 2017

DNN-SPACE: DNN-HMM-Based Generative Model of Voice F₀ Contours for Statistical Phrase/Accent Command Estimation.

Nobukatsu Hojo, Yasuhito Ohsugi, Yusuke Ijima, Hirokazu Kameoka

Proceedings of the 18th Annual Conference of the International Speech Communication Association, 2017

Generative adversarial network-based postfilter for statistical parametric speech synthesis.

Takuhiro Kaneko, Hirokazu Kameoka, Nobukatsu Hojo, Yusuke Ijima, Kaoru Hiramatsu, Kunio Kashino

Proceedings of the 2017 IEEE International Conference on Acoustics, 2017

An investigation to transplant emotional expressions in DNN-based TTS synthesis.

Katsuki Inoue, Sunao Hara, Masanobu Abe, Nobukatsu Hojo, Yusuke Ijima

Proceedings of the 2017 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, 2017

2016

Objective Evaluation Using Association Between Dimensions Within Spectral Features for Statistical Parametric Speech Synthesis.

Yusuke Ijima, Taichi Asami, Hideyuki Mizuno

Proceedings of the 17th Annual Conference of the International Speech Communication Association, 2016

An Investigation of DNN-Based Speech Synthesis Using Speaker Codes.

Nobukatsu Hojo, Yusuke Ijima, Hideyuki Mizuno

Proceedings of the 17th Annual Conference of the International Speech Communication Association, 2016

2015

Statistical model training technique based on speaker clustering approach for HMM-based speech synthesis.

Yusuke Ijima, Noboru Miyazaki, Hideyuki Mizuno, Sumitaka Sakauchi

Speech Commun., 2015

Similar Speaker Selection Technique Based on Distance Metric Learning Using Highly Correlated Acoustic Features with Perceptual Voice Quality Similarity.

Yusuke Ijima, Hideyuki Mizuno

IEICE Trans. Inf. Syst., 2015

Sub-band text-to-speech combining sample-based spectrum with statistically generated spectrum.

Tadashi Inai, Sunao Hara, Masanobu Abe, Yusuke Ijima, Noboru Miyazaki, Hideyuki Mizuno

Proceedings of the 16th Annual Conference of the International Speech Communication Association, 2015

2014

Prosodic variation enhancement using unsupervised context labeling for HMM-based expressive speech synthesis.

Yu Maeno, Takashi Nose, Takao Kobayashi, Tomoki Koriyama, Yusuke Ijima, Hideharu Nakajima, Hideyuki Mizuno, Osamu Yoshioka

Speech Commun., 2014

2013

Statistical model training technique for speech synthesis based on speaker class.

Yusuke Ijima, Noboru Miyazaki, Hideyuki Mizuno

Proceedings of the Eighth ISCA Tutorial and Research Workshop on Speech Synthesis, 2013

HMM-based expressive speech synthesis based on phrase-level F0 context labeling.

Yu Maeno, Takashi Nose, Takao Kobayashi, Tomoki Koriyama, Yusuke Ijima, Hideharu Nakajima, Hideyuki Mizuno, Osamu Yoshioka

Proceedings of the IEEE International Conference on Acoustics, 2013

2012

Similar Speaker Selection Technique Based on Distance Metric Learning with Perceptual Voice Quality Similarity.

Yusuke Ijima, Mitsuaki Isogai, Hideyuki Mizuno

Proceedings of the 13th Annual Conference of the International Speech Communication Association, 2012

2011

HMM-Based Emphatic Speech Synthesis Using Unsupervised Context Labeling.

Yu Maeno, Takashi Nose, Takao Kobayashi, Yusuke Ijima, Hideharu Nakajima, Hideyuki Mizuno, Osamu Yoshioka

Proceedings of the 12th Annual Conference of the International Speech Communication Association, 2011

Correlation Analysis of Acoustic Features with Perceptual Voice Quality Similarity for Similar Speaker Selection.

Yusuke Ijima, Mitsuaki Isogai, Hideyuki Mizuno

Proceedings of the 12th Annual Conference of the International Speech Communication Association, 2011

2010

A Rapid Model Adaptation Technique for Emotional Speech Recognition with Style Estimation Based on Multiple-Regression HMM.

Yusuke Ijima, Takashi Nose, Makoto Tachibana, Takao Kobayashi

IEICE Trans. Inf. Syst., 2010

2009

Speaking style adaptation for spontaneous speech recognition using multiple-regression HMM.

Yusuke Ijima, Takeshi Matsubara, Takashi Nose, Takao Kobayashi

Proceedings of the 10th Annual Conference of the International Speech Communication Association, 2009

Emotional speech recognition based on style estimation and adaptation with multiple-regression HMM.

Yusuke Ijima, Makoto Tachibana, Takashi Nose, Takao Kobayashi

Proceedings of the IEEE International Conference on Acoustics, 2009

2008

An on-line adaptation technique for emotional speech recognition using style estimation with multiple-regression HMM.

Yusuke Ijima, Makoto Tachibana, Takashi Nose, Takao Kobayashi

Proceedings of the 9th Annual Conference of the International Speech Communication Association, 2008