Xingfeng Li

Orcid: 0000-0002-8958-0341

Affiliations:
  • 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 13 papers between 2015 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

Online presence:

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Bibliography

2024
Machine learning-based prediction model for distant metastasis of breast cancer.
Comput. Biol. Medicine, February, 2024

MF-AED-AEC: Speech Emotion Recognition by Leveraging Multimodal Fusion, ASR Error Detection, and ASR Error Correction.
CoRR, 2024

2023
Music Theory-Inspired Acoustic Representation for Speech Emotion Recognition.
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

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 Interspeech 2019, 2019

2018
A Three-Layer Emotion Perception Model for Valence and Arousal-Based Detection from Multilingual Speech.
Proceedings of the Interspeech 2018, 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
Multilingual Speech Emotion Recognition System Based on a Three-Layer Model.
Proceedings of the Interspeech 2016, 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


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