Haoqin Sun

Orcid: 0000-0002-8554-8969

According to our database1, Haoqin Sun authored at least 14 papers between 2022 and 2024.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
ChildMandarin: A Comprehensive Mandarin Speech Dataset for Young Children Aged 3-5.
CoRR, 2024

M2R-Whisper: Multi-stage and Multi-scale Retrieval Augmentation for Enhancing Whisper.
CoRR, 2024

Uncertainty-Aware Mean Opinion Score Prediction.
CoRR, 2024

Iterative Prototype Refinement for Ambiguous Speech Emotion Recognition.
CoRR, 2024

Enhancing Emotion Recognition in Incomplete Data: A Novel Cross-Modal Alignment, Reconstruction, and Refinement Framework.
CoRR, 2024

Self-Prompt Tuning: Enable Autonomous Role-Playing in LLMs.
CoRR, 2024

Improving Zero-Shot Chinese-English Code-Switching ASR with kNN-CTC and Gated Monolingual Datastores.
CoRR, 2024

Fine-Grained Disentangled Representation Learning For Multimodal Emotion Recognition.
Proceedings of the IEEE International Conference on Acoustics, 2024

2023
Speech Emotion Recognition Using Cascaded Attention Network with Joint Loss for Discrimination of Confusions.
Mach. Intell. Res., August, 2023

A Multitask Learning Approach Based on Cascaded Attention Network and Self-Adaption Loss for Speech Emotion Recognition.
IEICE Trans. Fundam. Electron. Commun. Comput. Sci., June, 2023

A Discriminative Feature Representation Method Based on Cascaded Attention Network With Adversarial Strategy for Speech Emotion Recognition.
IEEE ACM Trans. Audio Speech Lang. Process., 2023

Multi-Level Knowledge Distillation for Speech Emotion Recognition in Noisy Conditions.
Proceedings of the 24th Annual Conference of the International Speech Communication Association, 2023

2022
Multi-modal speech emotion recognition using self-attention mechanism and multi-scale fusion framework.
Speech Commun., 2022

Discriminative Feature Representation Based on Cascaded Attention Network with Adversarial Joint Loss for Speech Emotion Recognition.
Proceedings of the 23rd Annual Conference of the International Speech Communication Association, 2022


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