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2020 – today
- 2023
[j1]Yoshinao Sato
, Kouki Miyazawa:
Statistical quality estimation for partially subjective classification tasks through crowdsourcing. Lang. Resour. Evaluation 57(1): 31-56 (2023)- [c12]Yoshinao Sato, Narumitsu Ikeda, Hirokazu Takahashi:
Shuffleaugment: A Data Augmentation Method Using Time Shuffling. ICASSP 2023: 1-5 - [c11]Zhi Zhu, Yoshinao Sato:
Deep Investigation of Intermediate Representations in Self-Supervised Learning Models for Speech Emotion Recognition. ICASSP Workshops 2023: 1-5 - [c10]Zhi Zhu, Yoshinao Sato:
Domain Adaptation without Catastrophic Forgetting on a Small-Scale Partially-Labeled Corpus for Speech Emotion Recognition. ICASSP 2023: 1-5 - [c9]Conggui Liu, Yoshinao Sato:
A Voice-Activity-Aware Loss Function for Continuous Speech Separation. MMSP 2023: 1-6 - 2022
- [c8]Takahiro Kamatani, Yoshinao Sato, Masato Fujino:
Ghost Play - A Violin-Playing Robot using Electromagnetic Linear Actuators. NIME 2022 - 2021
- [c7]Zhi Zhu, Yoshinao Sato:
Speech Emotion Recognition Using Semi-Supervised Learning with Efficient Labeling Strategies. ASRU 2021: 358-365 - [c6]Conggui Liu, Yoshinao Sato:
Enhancing Block-Online Speech Separation using Interblock Context Flow. MMSP 2021: 1-6 - [c5]Delowar Hossain, Yoshinao Sato:
Efficient corpus design for wake-word detection. SLT 2021: 1094-1100 - 2020
- [c4]Conggui Liu, Yoshinao Sato:
Self-Attention for Multi-Channel Speech Separation in Noisy and Reverberant Environments. APSIPA 2020: 794-799 - [c3]Zhi Zhu, Yoshinao Sato:
Reconciliation of Multiple Corpora for Speech Emotion Recognition by Multiple Classifiers with an Adversarial Corpus Discriminator. INTERSPEECH 2020: 2342-2346 - [c2]Yoshinao Sato, Kouki Miyazawa:
Quality Estimation for Partially Subjective Classification Tasks via Crowdsourcing. LREC 2020: 229-235
2010 – 2019
- 2018
- [c1]Narumitsu Ikeda, Yoshinao Sato, Hirokazu Takahashi:
Short Utterance Speaker Recognition by Reservoir with Self-Organized Mapping. SLT 2018: 1073-1077
Coauthor Index
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