Toward improving estimation accuracy of emotion dimensions in bilingual scenario based on three-layered model. - Xingfeng Li 001; Masato Akagi (O-COCOSDA/CASLRE, 2015)

Multilingual Speech Emotion Recognition System Based on a Three-Layer Model. - Xingfeng Li 001; Masato Akagi (INTERSPEECH, 2016)

Maximal Information Coefficient and Predominant Correlation-Based Feature Selection Toward A Three-Layer Model for Speech Emotion Recognition. - Xingfeng Li 001; Masato Akagi (APSIPA, 2018)

A Three-Layer Emotion Perception Model for Valence and Arousal-Based Detection from Multilingual Speech. - Xingfeng Li 001; Masato Akagi (INTERSPEECH, 2018)

The Contribution of Acoustic Features Analysis to Model Emotion Perceptual Process for Language Diversity. - Xingfeng Li 001; Masato Akagi (INTERSPEECH, 2019)

Improving multilingual speech emotion recognition by combining acoustic features in a three-layer model. - Xingfeng Li 001; Masato Akagi (Speech Commun., 2019)

Speech Emotion Recognition Using 3D Convolutions and Attention-Based Sliding Recurrent Networks With Auditory Front-Ends. - Zhichao Peng; Xingfeng Li 001; Zhi Zhu; Masashi Unoki; Jianwu Dang 001; Masato Akagi (IEEE Access, 2020)

Hierarchical Prosody Analysis Improves Categorical and Dimensional Emotion Recognition. - Xingfeng Li 001; Taiyang Guo; Xinhui Hu; Xinkang Xu; Jianwu Dang 001; Masato Akagi (APSIPA ASC, 2021)

Emotion Awareness in Multi-utterance Turn for Improving Emotion Prediction in Multi-Speaker Conversation. - Xiaohan Shi; Xingfeng Li 001; Tomoki Toda (INTERSPEECH, 2023)

Semi-supervised Multimodal Emotion Recognition with Consensus Decision-making and Label Correction. - Jingguang Tian; Desheng Hu; Xiaohan Shi; Jiajun He; Xingfeng Li 001; Yuan Gao 040; Tomoki Toda; Xinkang Xu; Xinhui Hu (MRAC@MM, 2023)

On the Effectiveness of ASR Representations in Real-world Noisy Speech Emotion Recognition. - Xiaohan Shi; Jiajun He; Xingfeng Li 001; Tomoki Toda (CoRR, 2023)

Music Theory-Inspired Acoustic Representation for Speech Emotion Recognition. - Xingfeng Li 001; Xiaohan Shi; Desheng Hu; Yongwei Li; Qingchen Zhang 001; Zhengxia Wang; Masashi Unoki; Masato Akagi (IEEE ACM Trans. Audio Speech Lang. Process., 2023)

BEES: A New Acoustic Task for Blended Emotion Estimation in Speech. - Xingfeng Li 001; Xiaohan Shi; Yuke Si; Zilong Zhang; Feifei Cui; Yongwei Li; Yang Liu; Masashi Unoki; Masato Akagi (APSIPA, 2024)

A Study on Multimodal Fusion and Layer Adapter in Emotion Recognition. - Xiaohan Shi; Yuan Gao 040; Jiajun He; Jinyi Mi; Xingfeng Li 001; Tomoki Toda (APSIPA, 2024)

RNASite: A one-stop tool website that integrates multiple RNA modification site databases and servers. - Jiahao Yuan; Xingfeng Li 001; Zilong Zhang; Qingchen Zhang 001; Quan Zou 001; Feifei Cui (BIBM, 2024)

MF-AED-AEC: Speech Emotion Recognition by Leveraging Multimodal Fusion, Asr Error Detection, and Asr Error Correction. - Jiajun He; Xiaohan Shi; Xingfeng Li 001; Tomoki Toda (ICASSP, 2024)

Multimodal Fusion of Music Theory-Inspired and Self-Supervised Representations for Improved Emotion Recognition. - Xiaohan Shi; Xingfeng Li 001; Tomoki Toda (INTERSPEECH, 2024)

Machine Anomalous Sound Detection Using Spectral-temporal Modulation Representations Derived from Machine-specific Filterbanks. - Kai Li 018; Khalid Zaman; Xingfeng Li 001; Masato Akagi; Masashi Unoki (CoRR, 2024)

Hyb_SEnc: An Antituberculosis Peptide Predictor Based on a Hybrid Feature Vector and Stacked Ensemble Learning. - Xiuhao Fu; Hao Duan; Xiaofeng Zang; Chunling Liu; Xingfeng Li 001; Qingchen Zhang 001; Zilong Zhang; Quan Zou 001; Feifei Cui (IEEE ACM Trans. Comput. Biol. Bioinform., 2024)

Machine learning-based prediction model for distant metastasis of breast cancer. - Hao Duan; Yu Zhang; Haoye Qiu; Xiuhao Fu; Chunling Liu; Xiaofeng Zang; Anqi Xu; Ziyue Wu; Xingfeng Li 001; Qingchen Zhang 001; Zilong Zhang; Feifei Cui (Comput. Biol. Medicine, 2024)