| Utmos: Utokyo-sarulab system for voicemos challenge 2022 T Saeki, D Xin, W Nakata, T Koriyama, S Takamichi, H Saruwatari arXiv preprint arXiv:2204.02152, 2022 | 185 | 2022 |
| Audiobook Speech Synthesis Conditioned by Cross-Sentence Context-Aware Word Embeddings W Nakata, T Koriyama, S Takamichi, N Tanji, Y Ijima, R Masumura, ... Proc. 11th ISCA Speech Synthesis Workshop (SSW 11), 211-215, 2021 | 17 | 2021 |
| Coco-Nut: Corpus of Japanese utterance and voice characteristics description for prompt-based control A Watanabe, S Takamichi, Y Saito, W Nakata, D Xin, H Saruwatari 2023 IEEE Automatic Speech Recognition and Understanding Workshop (ASRU), 1-8, 2023 | 9 | 2023 |
| J-MAC: Japanese multi-speaker audiobook corpus for speech synthesis S Takamichi, W Nakata, N Tanji, H Saruwatari arXiv preprint arXiv:2201.10896, 2022 | 9 | 2022 |
| Predicting VQVAE-based Character Acting Style from Quotation-Annotated Text for Audiobook Speech Synthesis W Nakata, T Koriyama, S Takamichi, Y Saito, Y Ijima, R Masumura, ... Proc. Interspeech 2022, 4551-4555, 2022 | 8 | 2022 |
| The T05 system for the VoiceMOS challenge 2024: Transfer learning from deep image classifier to naturalness MOS prediction of high-quality synthetic speech K Baba, W Nakata, Y Saito, H Saruwatari 2024 IEEE Spoken Language Technology Workshop (SLT), 818-824, 2024 | 4 | 2024 |
| UTDUSS: UTokyo-SaruLab System for Interspeech2024 Speech Processing Using Discrete Speech Unit Challenge W Nakata, K Yamauchi, D Yang, H Hyodo, Y Saito arXiv preprint arXiv:2403.13720, 2024 | 2 | 2024 |
| J-KAC: 日本語オーディオブック・紙芝居朗読音声コーパス 高道慎之介， 中田亘， 郡山知樹， 丹治尚子， 井島勇祐， 増村亮， 猿渡洋 研究報告音楽情報科学 (MUS) 2021 (14), 1-4, 2021 | 1 | 2021 |
| Causal Speech Enhancement with Predicting Semantics based on Quantized Self-supervised Learning Features E Tsunoo, Y Saito, W Nakata, H Saruwatari arXiv preprint arXiv:2412.19248, 2024 | | 2024 |
| NecoBERT: Self-Supervised Learning Model Trained by Masked Language Modeling on Rich Acoustic Features Derived from Neural Audio Codec W Nakata, T Saeki, Y Saito, S Takamichi, H Saruwatari 2024 Asia Pacific Signal and Information Processing Association Annual …, 2024 | | 2024 |
| J-CHAT: Japanese Large-scale Spoken Dialogue Corpus for Spoken Dialogue Language Modeling W Nakata, K Seki, H Yanaka, Y Saito, S Takamichi, H Saruwatari arXiv preprint arXiv:2407.15828, 2024 | | 2024 |
| Building speech corpus with diverse voice characteristics for its prompt-based representation A Watanabe, S Takamichi, Y Saito, W Nakata, D Xin, H Saruwatari arXiv preprint arXiv:2403.13353, 2024 | | 2024 |
| An Empirical Study of Self-Supervised Learning Model Features for Speech Waveform Reconstruction W NAKATA, T SAEKI, Y SAITO, S TAKAMICHI, H SARUWATARI 日本音響学会研究発表会講演論文集 (CD-ROM) 2023, 2-29, 2023 | | 2023 |
| Analysis of urgency of evacuation announcement speech and its application to text-to-speech S HARADA, W NAKATA, S TAKAMICHI, Y SAITO, Y SAITO, ... 日本音響学会研究発表会講演論文集 (CD-ROM) 2022, 2-41, 2022 | | 2022 |
| Audiobook Speech Synthesis based on Character embedding for Distinguishable Character Acting W NAKATA, T KOORIYAMA, S TAKAMICHI, Y SAITO, Y IJIMA, ... 日本音響学会研究発表会講演論文集 (CD-ROM) 2022, 3-3, 2022 | | 2022 |
| VQVAE によって獲得されたキャラクター演技スタイルに基づく多話者オーディオブック音声合成 中田亘， 郡山知樹， 高道慎之介， 齋藤佑樹， 井島勇祐， 増村亮， 猿渡洋 研究報告自然言語処理 (NL) 2021 (23), 1-6, 2021 | | 2021 |
| Decoding Strategy with Perceptual Rating Prediction for Language Model-Based Text-to-Speech Synthesis K Yamauchi, W Nakata, Y Saito, H Saruwatari Audio Imagination: NeurIPS 2024 Workshop AI-Driven Speech, Music, and Sound …, 0 | | |
Kazuki YamauchiThe University of TokyoПодтвержден адрес электронной почты в домене g.ecc.u-tokyo.ac.jp