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洪青阳
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教授
- 入职时间：2005-04-29
- 所在单位：信息学院
- 学历：博士研究生毕业
- 性别：男
- 学位：哲学博士学位
- 在职信息：在职
- 2022-04曾获荣誉当选：2021年度华为“优秀技术合作成果奖”
- 2020-12曾获荣誉当选：电子工业出版社“优秀作者奖”
访问量：
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[11]洪青阳.CASA-Net: Cross-attention and Self-attention for End-to-End Audio-visual Speaker Diarization.2023 Asia Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA ASC 2023,102-106.
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[12]洪青阳.Towards A Unified Conformer Structure: from ASR to ASV Task.ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings,2023-June
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[13]洪青阳.The XMU System for Audio-Visual Diarization and Recognition in MISP Challenge 2022.ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings,2023-June
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[14]洪青阳.Community Detection Graph Convolutional Network for Overlap-Aware Speaker Diarization.ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings,2023-June
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[15]洪青阳.Unsupervised Speaker Verification Using Pre-Trained Model and Label Correction.ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings,2023-June
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[16]洪青阳.Meta Learning with Adaptive Loss Weight for Low-Resource Speech Recognition.ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings,2023-June
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[17]洪青阳.Conformer-based Language Embedding with Self-Knowledge Distillation for Spoken Language Identification.Proceedings of the Annual Conference of the International Speech Communication Association, INTERSPEECH,2023-August5286-5290.
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[18]洪青阳.Cross-Modal Semantic Alignment before Fusion for Two-Pass End-to-End Spoken Language Understanding.Proceedings of the Annual Conference of the International Speech Communication Association, INTERSPEECH,2023-August1124-1128.
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[19]洪青阳.Interpretable Style Transfer for Text-to-Speech with ControlVAE and Diffusion Bridge.Proceedings of the Annual Conference of the International Speech Communication Association, INTERSPEECH,2023-August4304-4308.
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[20]洪青阳.REFLOW-TTS: A RECTIFIED FLOW MODEL FOR HIGH-FIDELITY TEXT-TO-SPEECH.arXiv,2023,
