CovNet: A Transfer Learning Framework for Automatic COVID-19 Detection From Crowd-Sourced Cough Sounds. - Yi Chang 004; Xin Jing 001; Zhao Ren; Björn W. Schuller (Frontiers Digit. Health, 2021)

A Temporal-oriented Broadcast ResNet for COVID-19 Detection. - Xin Jing 001; Shuo Liu 012; Emilia Parada-Cabaleiro; Andreas Triantafyllopoulos; Meishu Song; Zijiang Yang 007; Björn W. Schuller (BHI, 2022)

An Overview & Analysis of Sequence-to-Sequence Emotional Voice Conversion. - Zijiang Yang 007; Xin Jing 001; Andreas Triantafyllopoulos; Meishu Song; Ilhan Aslan; Björn W. Schuller (INTERSPEECH, 2022)

Exploring speaker enrolment for few-shot personalisation in emotional vocalisation prediction. - Andreas Triantafyllopoulos; Meishu Song; Zijiang Yang 007; Xin Jing 001; Björn W. Schuller (CoRR, 2022)

Redundancy Reduction Twins Network: A Training framework for Multi-output Emotion Regression. - Xin Jing 001; Meishu Song; Andreas Triantafyllopoulos; Zijiang Yang 007; Björn W. Schuller (CoRR, 2022)

Dynamic Restrained Uncertainty Weighting Loss for Multitask Learning of Vocal Expression. - Meishu Song; Zijiang Yang 007; Andreas Triantafyllopoulos; Xin Jing 001; Vincent Karas; Jiangjian Xie; Zixing Zhang 001; Yoshiharu Yamamoto; Björn W. Schuller (CoRR, 2022)

Audio self-supervised learning: A survey. - Shuo Liu 012; Adria Mallol-Ragolta; Emilia Parada-Cabaleiro; Kun Qian 003; Xin Jing 001; Alexander Kathan; Bin Hu 001; Björn W. Schuller (Patterns, 2022)

Daily Mental Health Monitoring from Speech: A Real-World Japanese Dataset and Multitask Learning Analysis. - Meishu Song; Andreas Triantafyllopoulos; Zijiang Yang 007; Hiroki Takeuchi; Toru Nakamura; Akifumi Kishi; Tetsuro Ishizawa; Kazuhiro Yoshiuchi; Xin Jing 001; Vincent Karas; Zhonghao Zhao; Kun Qian 003; et al. (ICASSP, 2023)

U-DiT TTS: U-Diffusion Vision Transformer for Text-to-Speech. - Xin Jing 001; Yi Chang 004; Zijiang Yang 007; Jiangjian Xie; Andreas Triantafyllopoulos; Björn W. Schuller (CoRR, 2023)

HEAR4Health: a blueprint for making computer audition a staple of modern healthcare. - Andreas Triantafyllopoulos; Alexander Kathan; Alice Baird; Lukas Christ; Alexander Gebhard 001; Maurice Gerczuk; Vincent Karas; Tobias Hübner; Xin Jing 001; Shuo Liu 012; Adria Mallol-Ragolta; Manuel Milling; et al. (Frontiers Digit. Health, 2023)

Temporal Oriented ResNet for Gaming Dimensional Emotion Prediction. - Meishu Song; Xin Jing 001; Emilia Parada-Cabaleiro; Zijiang Yang 007; Yoshiharu Yamamoto; Björn W. Schuller (EUSIPCO, 2024)

ParaCLAP - Towards a general language-audio model for computational paralinguistic tasks. - Xin Jing 001; Andreas Triantafyllopoulos; Björn W. Schuller (INTERSPEECH, 2024)

DB3V: A Dialect Dominated Dataset of Bird Vocalisation for Cross-corpus Bird Species Recognition. - Xin Jing 001; Luyang Zhang; Jiangjian Xie; Alexander Gebhard 001; Alice Baird; Björn W. Schuller (INTERSPEECH, 2024)

Enhancing Emotional Text-to-Speech Controllability with Natural Language Guidance through Contrastive Learning and Diffusion Models. - Xin Jing 001; Kun Zhou 003; Andreas Triantafyllopoulos; Björn W. Schuller (ICASSP, 2025)

MADUV: The 1st INTERSPEECH Mice Autism Detection via Ultrasound Vocalization Challenge. - Zijiang Yang 007; Meishu Song; Xin Jing 001; Haojie Zhang; Kun Qian 003; Bin Hu 001; Kota Tamada; Toru Takumi; Björn W. Schuller; Yoshiharu Yamamoto (INTERSPEECH, 2025)

Vishing: Detecting social engineering in spoken communication - A first survey & urgent roadmap to address an emerging societal challenge. - Andreas Triantafyllopoulos; Anika A. Spiesberger; Iosif Tsangko; Xin Jing 001; Verena Distler; Felix Dietz; Florian Alt; Björn W. Schuller (Comput. Speech Lang., 2025)

Audio-Based Kinship Verification Using Age Domain Conversion. - Qiyang Sun; Alican Akman; Xin Jing 001; Manuel Milling; Björn W. Schuller (IEEE Signal Process. Lett., 2025)

STAA-Net: A Sparse and Transferable Adversarial Attack for Speech Emotion Recognition. - Yi Chang 004; Zhao Ren; Zixing Zhang 001; Xin Jing 001; Kun Qian 003; Xi Shao; Bin Hu 001; Tanja Schultz; Björn W. Schuller (IEEE Trans. Affect. Comput., 2025)

MELT: Towards Automated Multimodal Emotion Data Annotation by Leveraging LLM Embedded Knowledge. - Xin Jing 001; Jiadong Wang; Iosif Tsangko; Andreas Triantafyllopoulos; Björn W. Schuller (CoRR, 2025)

Decoding nature's melody: significance and challenges of machine learning in assessing bird diversity via soundscape analysis. - Jiangjian Xie; Shanshan Xie; Yang Liu 004; Xin Jing 001; Mengkun Zhu; Linlin Xie; Junguo Zhang; Kun Qian 003; Björn W. Schuller (Artif. Intell. Rev., 2026)