Wataru Nakata

According to our database, Wataru Nakata authored at least 14 papers between 2021 and 2025.

Collaborative distances:

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

2025

Sidon: Fast and Robust Open-Source Multilingual Speech Restoration for Large-scale Dataset Cleansing.

Wataru Nakata, Yuki Saito, Yota Ueda, Hiroshi Saruwatari

CoRR, September, 2025

Multi-Sampling-Frequency Naturalness MOS Prediction Using Self-Supervised Learning Model with Sampling-Frequency-Independent Layer.

Go Nishikawa, Wataru Nakata, Yuki Saito, Kanami Imamura, Hiroshi Saruwatari, Tomohiko Nakamura

CoRR, July, 2025

ReverbMiipher: Generative Speech Restoration meets Reverberation Characteristics Controllability.

Wataru Nakata, Yuma Koizumi, Shigeki Karita, Robin Scheibler, Haruko Ishikawa, Adriana Guevara-Rukoz, Heiga Zen, Michiel Bacchiani

CoRR, May, 2025

Causal Speech Enhancement with Predicting Semantics based on Quantized Self-supervised Learning Features.

Emiru Tsunoo, Yuki Saito, Wataru Nakata, Hiroshi Saruwatari

Proceedings of the 2025 IEEE International Conference on Acoustics, 2025

2024

J-CHAT: Japanese Large-scale Spoken Dialogue Corpus for Spoken Dialogue Language Modeling.

Wataru Nakata, Kentaro Seki, Hitomi Yanaka, Yuki Saito, Shinnosuke Takamichi, Hiroshi Saruwatari

CoRR, 2024

UTDUSS: UTokyo-SaruLab System for Interspeech2024 Speech Processing Using Discrete Speech Unit Challenge.

Wataru Nakata, Kazuki Yamauchi, Dong Yang, Hiroaki Hyodo, Yuki Saito

CoRR, 2024

Building speech corpus with diverse voice characteristics for its prompt-based representation.

Aya Watanabe, Shinnosuke Takamichi, Yuki Saito, Wataru Nakata, Detai Xin, Hiroshi Saruwatari

CoRR, 2024

The T05 System for the voicemos challenge 2024: Transfer Learning from Deep Image Classifier to Naturalness MOS Prediction of High-Quality Synthetic Speech.

Kaito Baba, Wataru Nakata, Yuki Saito, Hiroshi Saruwatari

Proceedings of the IEEE Spoken Language Technology Workshop, 2024

NecoBERT: Self-Supervised Learning Model Trained by Masked Language Modeling on Rich Acoustic Features Derived from Neural Audio Codec.

Wataru Nakata, Takaaki Saeki, Yuki Saito, Shinnosuke Takamichi, Hiroshi Saruwatari

Proceedings of the Asia Pacific Signal and Information Processing Association Annual Summit and Conference, 2024

2023

COCO-NUT: Corpus of Japanese Utterance and Voice Characteristics Description for Prompt-Based Control.

Aya Watanabe, Shinnosuke Takamichi, Yuki Saito, Wataru Nakata, Detai Xin, Hiroshi Saruwatari

Proceedings of the IEEE Automatic Speech Recognition and Understanding Workshop, 2023

2022

J-MAC: Japanese multi-speaker audiobook corpus for speech synthesis.

Shinnosuke Takamichi, Wataru Nakata, Naoko Tanji, Hiroshi Saruwatari

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

UTMOS: UTokyo-SaruLab System for VoiceMOS Challenge 2022.

Takaaki Saeki, Detai Xin, Wataru Nakata, Tomoki Koriyama, Shinnosuke Takamichi, Hiroshi Saruwatari

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

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