Zijiang Yang
Zijiang Yang
Project Researcher, The University of Tokyo
Verified email at - Homepage
Cited by
Cited by
An early study on intelligent analysis of speech under COVID-19: Severity, sleep quality, fatigue, and anxiety
J Han, K Qian, M Song, Z Yang, Z Ren, S Liu, J Liu, H Zheng, W Ji, ...
Proceedings in INTERSPEECH 2020, 4946-4950, 2020
Deep sequential image features on acoustic scene classification
Z Ren, V Pandit, K Qian, Z Yang, Z Zhang, B Schuller
DCASE, 113-117, 2017
Wavelets revisited for the classification of acoustic scenes
K Qian, Z Ren, V Pandit, Z Yang, Z Zhang, B Schuller
DCASE, 108-112, 2017
Adventitious Respiratory Classification using Attentive Residual Neural Networks
Z Yang, S Liu, M Song, E Parada-Cabaleiro, B Schuller
Proceedings in INTERSPEECH 2020, 2912-2916, 2020
Audiovisual analysis for recognising frustration during game-play: introducing the multimodal game frustration database
M Song, Z Yang, A Baird, E Parada-Cabaleiro, Z Zhang, Z Zhao, ...
2019 8th International conference on affective computing and intelligent …, 2019
Computer audition for fighting the sars-cov-2 corona crisis—introducing the multitask speech corpus for covid-19
K Qian, M Schmitt, H Zheng, T Koike, J Han, J Liu, W Ji, J Duan, M Song, ...
IEEE Internet of Things Journal 8 (21), 16035-16046, 2021
An overview of affective speech synthesis and conversion in the deep learning era
A Triantafyllopoulos, BW Schuller, G İymen, M Sezgin, X He, Z Yang, ...
Proceedings of the IEEE, 2023
Frustration recognition from speech during game interaction using wide residual networks
M Song, A Mallol-Ragolta, E Parada-Cabaleiro, Z Yang, S Liu, Z Ren, ...
Virtual Reality & Intelligent Hardware 3 (1), 76-86, 2021
An Overview & Analysis of Sequence-to-Sequence Emotional Voice Conversion
Z Yang, X Jing, A Triantafyllopoulos, M Song, I Aslan, BW Schuller
Proceedings in INTERSPEECH 2022, 4915-4919, 2022
Redundancy reduction twins network: A training framework for multi-output emotion regression
X Jing, M Song, A Triantafyllopoulos, Z Yang, BW Schuller
Proceedings in ICML: ExVo Workshop, 2022
Daily mental health monitoring from speech: A real-world japanese dataset and multitask learning analysis
M Song, A Triantafyllopoulos, Z Yang, H Takeuchi, T Nakamura, A Kishi, ...
ICASSP 2023-2023 IEEE International Conference on Acoustics, Speech and …, 2023
Exploring speaker enrolment for few-shot personalisation in emotional vocalisation prediction
A Triantafyllopoulos, M Song, Z Yang, X Jing, BW Schuller
Proceedings in ICML: ExVo Workshop, 2022
An Early Study on Intelligent Analysis of Speech under COVID-19: Severity
J Han, K Qian, M Song, Z Yang, Z Ren, S Liu, J Liu, H Zheng, W Ji, ...
Sleep Quality, Fatigue, and Anxiety. arXiv preprint arXiv 200500096, 2020
Learning multi-resolution representations for acoustic scene classification via neural networks
Z Yang, K Qian, Z Ren, A Baird, Z Zhang, B Schuller
Proceedings of the 7th Conference on Sound and Music Technology (CSMT …, 2019
Dynamic Restrained Uncertainty Weighting Loss for Multitask Learning of Vocal Expression
M Song, Z Yang, A Triantafyllopoulos, X Jing, V Karas, X Jiangjian, ...
Proceedings in ICML: ExVo Workshop, 2022
Predicting group work performance from physical handwriting features in a smart English classroom
M Song, K Qian, B Chen, K Okabayashi, E Parada-Cabaleiro, Z Yang, ...
Proceedings of the 2021 5th International Conference on Digital Signal …, 2021
Supervised contrastive learning for game-play frustration detection from speech
M Song, E Parada-Cabaleiro, S Liu, M Milling, A Baird, Z Yang, ...
International Conference on Human-Computer Interaction, 617-629, 2021
U-DiT TTS: U-Diffusion Vision Transformer for Text-to-Speech
X Jing, Y Chang, Z Yang, J Xie, A Triantafyllopoulos, BW Schuller
Speech Communication; 15th ITG Conference, 56-60, 2023
HEAR4Health: a blueprint for making computer audition a staple of modern healthcare
A Triantafyllopoulos, A Kathan, A Baird, L Christ, A Gebhard, M Gerczuk, ...
Frontiers in Digital Health 5, 1196079, 2023
Parallelising 2D-CNNs and Transformers: A Cognitivebased approach for Automatic Recognition of Learners’ English Proficiency
M Song, E Parada-Cabaleiro, Z Yang, X Jing, K Togami, K Qian, ...
Proceedings in IHSI 2022, 2022
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