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2020 – today
- 2024
[j8]Takanori Ashihara
, Marc Delcroix, Yusuke Ijima, Makio Kashino:
Unveiling the Linguistic Capabilities of a Self-Supervised Speech Model Through Cross-Lingual Benchmark and Layer- Wise Similarity Analysis. IEEE Access 12: 98835-98855 (2024)- [j7]Kenichi Fujita, Atsushi Ando, Yusuke Ijima:
Speech Rhythm-Based Speaker Embeddings Extraction from Phonemes and Phoneme Duration for Multi-Speaker Speech Synthesis. IEICE Trans. Inf. Syst. 107(1): 93-104 (2024) - [c46]Takanori Ashihara, Marc Delcroix, Takafumi Moriya, Kohei Matsuura, Taichi Asami, Yusuke Ijima:
What Do Self-Supervised Speech and Speaker Models Learn? New Findings from a Cross Model Layer-Wise Analysis. ICASSP 2024: 10166-10170 - [c45]Kazuki Yamauchi, Yusuke Ijima, Yuki Saito:
STYLECAP: Automatic Speaking-Style Captioning from Speech Based on Speech and Language Self-Supervised Learning Models. ICASSP 2024: 11261-11265 - [c44]Kenichi Fujita, Hiroshi Sato, Takanori Ashihara, Hiroki Kanagawa, Marc Delcroix, Takafumi Moriya, Yusuke Ijima:
Noise-Robust Zero-Shot Text-to-Speech Synthesis Conditioned on Self-Supervised Speech-Representation Model with Adapters. ICASSP 2024: 11471-11475 - [i9]Kenichi Fujita, Hiroshi Sato, Takanori Ashihara, Hiroki Kanagawa, Marc Delcroix, Takafumi Moriya, Yusuke Ijima:
Noise-robust zero-shot text-to-speech synthesis conditioned on self-supervised speech-representation model with adapters. CoRR abs/2401.05111 (2024) - [i8]Takanori Ashihara, Marc Delcroix, Takafumi Moriya, Kohei Matsuura, Taichi Asami, Yusuke Ijima:
What Do Self-Supervised Speech and Speaker Models Learn? New Findings From a Cross Model Layer-Wise Analysis. CoRR abs/2401.17632 (2024) - [i7]Kenichi Fujita, Atsushi Ando, Yusuke Ijima:
Speech Rhythm-Based Speaker Embeddings Extraction from Phonemes and Phoneme Duration for Multi-Speaker Speech Synthesis. CoRR abs/2402.07085 (2024) - [i6]Kenichi Fujita, Takanori Ashihara, Marc Delcroix, Yusuke Ijima:
Lightweight Zero-shot Text-to-Speech with Mixture of Adapters. CoRR abs/2407.01291 (2024) - 2023
- [c43]Kenichi Fujita, Takanori Ashihara, Hiroki Kanagawa, Takafumi Moriya, Yusuke Ijima:
Zero-Shot Text-to-Speech Synthesis Conditioned Using Self-Supervised Speech Representation Model. ICASSP Workshops 2023: 1-5 - [c42]Hiroki Kanagawa, Yusuke Ijima:
Enhancement of Text-Predicting Style Token With Generative Adversarial Network for Expressive Speech Synthesis. ICASSP 2023: 1-5 - [c41]Hiroki Kanagawa, Takafumi Moriya, Yusuke Ijima:
VC-T: Streaming Voice Conversion Based on Neural Transducer. INTERSPEECH 2023: 2088-2092 - [c40]Takanori Ashihara, Takafumi Moriya, Kohei Matsuura, Tomohiro Tanaka, Yusuke Ijima, Taichi Asami, Marc Delcroix, Yukinori Honma:
SpeechGLUE: How Well Can Self-Supervised Speech Models Capture Linguistic Knowledge? INTERSPEECH 2023: 2888-2892 - [c39]Mizuki Nagano, Yusuke Ijima, Sadao Hiroya:
A stimulus-organism-response model of willingness to buy from advertising speech using voice quality. INTERSPEECH 2023: 5202-5206 - [c38]Hikaru Yanagida, Yusuke Ijima, Naohiro Tawara:
Influence of Personal Traits on Impressions of One's Own Voice. INTERSPEECH 2023: 5212-5216 - [i5]Kenichi Fujita, Takanori Ashihara, Hiroki Kanagawa, Takafumi Moriya, Yusuke Ijima:
Zero-shot text-to-speech synthesis conditioned using self-supervised speech representation model. CoRR abs/2304.11976 (2023) - [i4]Takanori Ashihara, Takafumi Moriya, Kohei Matsuura, Tomohiro Tanaka, Yusuke Ijima, Taichi Asami, Marc Delcroix, Yukinori Honma:
SpeechGLUE: How Well Can Self-Supervised Speech Models Capture Linguistic Knowledge? CoRR abs/2306.08374 (2023) - [i3]Kazuki Yamauchi, Yusuke Ijima, Yuki Saito:
StyleCap: Automatic Speaking-Style Captioning from Speech Based on Speech and Language Self-supervised Learning Models. CoRR abs/2311.16509 (2023) - 2022
- [c37]Hiroki Kanagawa, Yusuke Ijima:
Multi-Sample Subband Wavernn Via Multivariate Gaussian. ICASSP 2022: 8427-8431 - [c36]Hiroki Kanagawa, Yusuke Ijima, Hiroyuki Toda:
Joint Modeling of Multi-Sample and Subband Signals for Fast Neural Vocoding on CPU. INTERSPEECH 2022: 1626-1630 - [c35]Wataru Nakata, Tomoki Koriyama, Shinnosuke Takamichi, Yuki Saito, Yusuke Ijima, Ryo Masumura, Hiroshi Saruwatari:
Predicting VQVAE-based Character Acting Style from Quotation-Annotated Text for Audiobook Speech Synthesis. INTERSPEECH 2022: 4551-4555 - [c34]Yusuke Ijima, Yuta Furudate, Kaori Chiba, Yuji Ishida, Sadayoshi Mikami:
Automated Recognition of Off Phenomenon in Parkinson's Disease During Walking : - Measurement in Daily Life with Wearable Device -. LifeTech 2022: 273-275 - [c33]Hiroki Kanagawa, Yusuke Ijima:
SIMD-Size Aware Weight Regularization for Fast Neural Vocoding on CPU. SLT 2022: 955-961 - [i2]Hiroki Kanagawa, Yusuke Ijima:
SIMD-size aware weight regularization for fast neural vocoding on CPU. CoRR abs/2211.00898 (2022) - 2021
- [j6]Katsuki Inoue, Sunao Hara, Masanobu Abe, Nobukatsu Hojo, Yusuke Ijima:
Model architectures to extrapolate emotional expressions in DNN-based text-to-speech. Speech Commun. 126: 35-43 (2021) - [c32]Naohiro Tawara, Atsunori Ogawa, Yuki Kitagishi, Hosana Kamiyama, Yusuke Ijima:
Robust Speech-Age Estimation Using Local Maximum Mean Discrepancy Under Mismatched Recording Conditions. ASRU 2021: 114-121 - [c31]Takafumi Moriya, Takanori Ashihara, Tomohiro Tanaka, Tsubasa Ochiai, Hiroshi Sato, Atsushi Ando, Yusuke Ijima, Ryo Masumura, Yusuke Shinohara:
Simpleflat: A Simple Whole-Network Pre-Training Approach for RNN Transducer-Based End-to-End Speech Recognition. ICASSP 2021: 5664-5668 - [c30]Atsushi Ando, Ryo Masumura, Hiroshi Sato, Takafumi Moriya, Takanori Ashihara, Yusuke Ijima, Tomoki Toda:
Speech Emotion Recognition Based on Listener Adaptive Models. ICASSP 2021: 6274-6278 - [c29]Naoto Kakegawa, Sunao Hara, Masanobu Abe, Yusuke Ijima:
Phonetic and Prosodic Information Estimation from Texts for Genuine Japanese End-to-End Text-to-Speech. Interspeech 2021: 126-130 - [c28]Mizuki Nagano, Yusuke Ijima, Sadao Hiroya:
Impact of Emotional State on Estimation of Willingness to Buy from Advertising Speech. Interspeech 2021: 2486-2490 - [c27]Kenichi Fujita, Atsushi Ando, Yusuke Ijima:
Phoneme Duration Modeling Using Speech Rhythm-Based Speaker Embeddings for Multi-Speaker Speech Synthesis. Interspeech 2021: 3141-3145 - [c26]Wataru Nakata, Tomoki Koriyama, Shinnosuke Takamichi, Naoko Tanji, Yusuke Ijima, Ryo Masumura, Hiroshi Saruwatari:
Audiobook Speech Synthesis Conditioned by Cross-Sentence Context-Aware Word Embeddings. SSW 2021: 211-215 - 2020
- [c25]Hiroki Kanagawa, Yusuke Ijima:
Lightweight LPCNet-Based Neural Vocoder with Tensor Decomposition. INTERSPEECH 2020: 205-209 - [c24]Yuki Yamashita, Tomoki Koriyama, Yuki Saito, Shinnosuke Takamichi, Yusuke Ijima, Ryo Masumura, Hiroshi Saruwatari:
Investigating Effective Additional Contextual Factors in DNN-Based Spontaneous Speech Synthesis. INTERSPEECH 2020: 3201-3205 - [c23]Yuki Yamashita, Tomoki Koriyama, Yuki Saito, Shinnosuke Takamichi, Yusuke Ijima, Ryo Masumura, Hiroshi Saruwatari:
DNN-based Speech Synthesis Using Abundant Tags of Spontaneous Speech Corpus. LREC 2020: 6438-6443
2010 – 2019
- 2019
- [c22]Ryo Masumura, Yusuke Ijima, Satoshi Kobashikawa, Takanobu Oba, Yushi Aono:
Can We Simulate Generative Process of Acoustic Modeling Data? Towards Data Restoration for Acoustic Modeling. APSIPA 2019: 655-661 - [c21]Ryo Masumura, Hiroshi Sato, Tomohiro Tanaka, Takafumi Moriya, Yusuke Ijima, Takanobu Oba:
End-to-End Automatic Speech Recognition with a Reconstruction Criterion Using Speech-to-Text and Text-to-Speech Encoder-Decoders. INTERSPEECH 2019: 1606-1610 - [c20]Hiroki Kanagawa, Yusuke Ijima:
Multi-Speaker Modeling for DNN-based Speech Synthesis Incorporating Generative Adversarial Networks. SSW 2019: 40-44 - [c19]Taiki Nakamura, Yuki Saito, Shinnosuke Takamichi, Yusuke Ijima, Hiroshi Saruwatari:
V2S attack: building DNN-based voice conversion from automatic speaker verification. SSW 2019: 161-165 - [i1]Taiki Nakamura, Yuki Saito, Shinnosuke Takamichi, Yusuke Ijima, Hiroshi Saruwatari:
V2S attack: building DNN-based voice conversion from automatic speaker verification. CoRR abs/1908.01454 (2019) - 2018
- [j5]Nobukatsu Hojo, Yusuke Ijima, Hideyuki Mizuno:
DNN-Based Speech Synthesis Using Speaker Codes. IEICE Trans. Inf. Syst. 101-D(2): 462-472 (2018) - [c18]Atsushi Ando, Satoshi Kobashikawa, Hosana Kamiyama, Ryo Masumura, Yusuke Ijima, Yushi Aono:
Soft-Target Training with Ambiguous Emotional Utterances for DNN-Based Speech Emotion Classification. ICASSP 2018: 4964-4968 - [c17]Yuki Saito, Yusuke Ijima, Kyosuke Nishida, Shinnosuke Takamichi:
Non-Parallel Voice Conversion Using Variational Autoencoders Conditioned by Phonetic Posteriorgrams and D-Vectors. ICASSP 2018: 5274-5278 - [c16]Ryo Masumura, Yusuke Ijima, Taichi Asami, Hirokazu Masataki, Ryuichiro Higashinaka:
Neural Confnet Classification: Fully Neural Network Based Spoken Utterance Classification Using Word Confusion Networks. ICASSP 2018: 6039-6043 - 2017
- [c15]Katsuki Inoue, Sunao Hara, Masanobu Abe, Nobukatsu Hojo, Yusuke Ijima:
An investigation to transplant emotional expressions in DNN-based TTS synthesis. APSIPA 2017: 1253-1258 - [c14]Takuhiro Kaneko, Hirokazu Kameoka, Nobukatsu Hojo, Yusuke Ijima, Kaoru Hiramatsu, Kunio Kashino:
Generative adversarial network-based postfilter for statistical parametric speech synthesis. ICASSP 2017: 4910-4914 - [c13]Yusuke Ijima, Nobukatsu Hojo, Ryo Masumura, Taichi Asami:
Prosody Aware Word-Level Encoder Based on BLSTM-RNNs for DNN-Based Speech Synthesis. INTERSPEECH 2017: 764-768 - [c12]Nobukatsu Hojo, Yasuhito Ohsugi, Yusuke Ijima, Hirokazu Kameoka:
DNN-SPACE: DNN-HMM-Based Generative Model of Voice F0 Contours for Statistical Phrase/Accent Command Estimation. INTERSPEECH 2017: 1074-1078 - 2016
- [c11]Yusuke Ijima, Taichi Asami, Hideyuki Mizuno:
Objective Evaluation Using Association Between Dimensions Within Spectral Features for Statistical Parametric Speech Synthesis. INTERSPEECH 2016: 337-341 - [c10]Nobukatsu Hojo, Yusuke Ijima, Hideyuki Mizuno:
An Investigation of DNN-Based Speech Synthesis Using Speaker Codes. INTERSPEECH 2016: 2278-2282 - 2015
- [j4]Yusuke Ijima, Hideyuki Mizuno:
Similar Speaker Selection Technique Based on Distance Metric Learning Using Highly Correlated Acoustic Features with Perceptual Voice Quality Similarity. IEICE Trans. Inf. Syst. 98-D(1): 157-165 (2015) - [j3]Yusuke Ijima, Noboru Miyazaki, Hideyuki Mizuno, Sumitaka Sakauchi:
Statistical model training technique based on speaker clustering approach for HMM-based speech synthesis. Speech Commun. 71: 50-61 (2015) - [c9]Tadashi Inai, Sunao Hara, Masanobu Abe, Yusuke Ijima, Noboru Miyazaki, Hideyuki Mizuno:
Sub-band text-to-speech combining sample-based spectrum with statistically generated spectrum. INTERSPEECH 2015: 264-268 - 2014
- [j2]Yu Maeno, Takashi Nose, Takao Kobayashi, Tomoki Koriyama, Yusuke Ijima, Hideharu Nakajima, Hideyuki Mizuno, Osamu Yoshioka:
Prosodic variation enhancement using unsupervised context labeling for HMM-based expressive speech synthesis. Speech Commun. 57: 144-154 (2014) - 2013
- [c8]Yu Maeno, Takashi Nose, Takao Kobayashi, Tomoki Koriyama, Yusuke Ijima, Hideharu Nakajima, Hideyuki Mizuno, Osamu Yoshioka:
HMM-based expressive speech synthesis based on phrase-level F0 context labeling. ICASSP 2013: 7859-7863 - [c7]Yusuke Ijima, Noboru Miyazaki, Hideyuki Mizuno:
Statistical model training technique for speech synthesis based on speaker class. SSW 2013: 141-145 - 2012
- [c6]Yusuke Ijima, Mitsuaki Isogai, Hideyuki Mizuno:
Similar Speaker Selection Technique Based on Distance Metric Learning with Perceptual Voice Quality Similarity. INTERSPEECH 2012: 1997-2000 - 2011
- [c5]Yu Maeno, Takashi Nose, Takao Kobayashi, Yusuke Ijima, Hideharu Nakajima, Hideyuki Mizuno, Osamu Yoshioka:
HMM-Based Emphatic Speech Synthesis Using Unsupervised Context Labeling. INTERSPEECH 2011: 1849-1852 - [c4]Yusuke Ijima, Mitsuaki Isogai, Hideyuki Mizuno:
Correlation Analysis of Acoustic Features with Perceptual Voice Quality Similarity for Similar Speaker Selection. INTERSPEECH 2011: 2237-2240 - 2010
- [j1]Yusuke Ijima, Takashi Nose, Makoto Tachibana, Takao Kobayashi:
A Rapid Model Adaptation Technique for Emotional Speech Recognition with Style Estimation Based on Multiple-Regression HMM. IEICE Trans. Inf. Syst. 93-D(1): 107-115 (2010)
2000 – 2009
- 2009
- [c3]Yusuke Ijima, Makoto Tachibana, Takashi Nose, Takao Kobayashi:
Emotional speech recognition based on style estimation and adaptation with multiple-regression HMM. ICASSP 2009: 4157-4160 - [c2]Yusuke Ijima, Takeshi Matsubara, Takashi Nose, Takao Kobayashi:
Speaking style adaptation for spontaneous speech recognition using multiple-regression HMM. INTERSPEECH 2009: 552-555 - 2008
- [c1]Yusuke Ijima, Makoto Tachibana, Takashi Nose, Takao Kobayashi:
An on-line adaptation technique for emotional speech recognition using style estimation with multiple-regression HMM. INTERSPEECH 2008: 1297-1300
Coauthor Index
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