Xingfeng Li
Orcid: 0000-0002-8958-0341Affiliations:
- Hithink RoyalFlush AI Research Institute, Zhejiang, China
- Japan Advanced Institute of Science and Technology, Ishikawa, Japan (former)
According to our database1,
Xingfeng Li
authored at least 15 papers
between 2015 and 2024.
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Bibliography
2024
Comput. Biol. Medicine, February, 2024
Machine Anomalous Sound Detection Using Spectral-temporal Modulation Representations Derived from Machine-specific Filterbanks.
CoRR, 2024
MF-AED-AEC: Speech Emotion Recognition by Leveraging Multimodal Fusion, Asr Error Detection, and Asr Error Correction.
Proceedings of the IEEE International Conference on Acoustics, 2024
2023
IEEE ACM Trans. Audio Speech Lang. Process., 2023
On the Effectiveness of ASR Representations in Real-world Noisy Speech Emotion Recognition.
CoRR, 2023
Semi-supervised Multimodal Emotion Recognition with Consensus Decision-making and Label Correction.
Proceedings of the 1st International Workshop on Multimodal and Responsible Affective Computing, 2023
Emotion Awareness in Multi-utterance Turn for Improving Emotion Prediction in Multi-Speaker Conversation.
Proceedings of the 24th Annual Conference of the International Speech Communication Association, 2023
2021
Hierarchical Prosody Analysis Improves Categorical and Dimensional Emotion Recognition.
Proceedings of the Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, 2021
2020
Speech Emotion Recognition Using 3D Convolutions and Attention-Based Sliding Recurrent Networks With Auditory Front-Ends.
IEEE Access, 2020
2019
Improving multilingual speech emotion recognition by combining acoustic features in a three-layer model.
Speech Commun., 2019
The Contribution of Acoustic Features Analysis to Model Emotion Perceptual Process for Language Diversity.
Proceedings of the 20th Annual Conference of the International Speech Communication Association, 2019
2018
A Three-Layer Emotion Perception Model for Valence and Arousal-Based Detection from Multilingual Speech.
Proceedings of the 19th Annual Conference of the International Speech Communication Association, 2018
Maximal Information Coefficient and Predominant Correlation-Based Feature Selection Toward A Three-Layer Model for Speech Emotion Recognition.
Proceedings of the Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, 2018
2016
Proceedings of the 17th Annual Conference of the International Speech Communication Association, 2016
2015
Toward improving estimation accuracy of emotion dimensions in bilingual scenario based on three-layered model.
Proceedings of the 2015 International Conference Oriental COCOSDA held jointly with 2015 Conference on Asian Spoken Language Research and Evaluation (O-COCOSDA/CASLRE), 2015