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Hongjiang Yu
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Journal Articles
- 2023
- [j5]Lei Lei, Guoshun Yuan, Tianle Zhang, Hongjiang Yu:
Low-Power Feature-Attention Chinese Keyword Spotting Framework with Distillation Learning. ACM Trans. Asian Low Resour. Lang. Inf. Process. 22(2): 56:1-56:14 (2023) - [j4]Lei Lei, Guoshun Yuan, Hongjiang Yu, Dewei Kong, Yuefeng He:
Multilingual Customized Keyword Spotting Using Similar-Pair Contrastive Learning. IEEE ACM Trans. Audio Speech Lang. Process. 31: 2437-2447 (2023) - 2022
- [j3]Mojtaba Hasannezhad, Hongjiang Yu, Wei-Ping Zhu, Benoît Champagne:
PACDNN: A phase-aware composite deep neural network for speech enhancement. Speech Commun. 136: 1-13 (2022) - 2020
- [j2]Hongjiang Yu, Wei-Ping Zhu, Zhiheng Ouyang, Benoît Champagne:
A hybrid speech enhancement system with DNN based speech reconstruction and Kalman filtering. Multim. Tools Appl. 79(43-44): 32643-32663 (2020) - [j1]Hongjiang Yu, Wei-Ping Zhu, Benoît Champagne:
Speech enhancement using a DNN-augmented colored-noise Kalman filter. Speech Commun. 125: 142-151 (2020)
Conference and Workshop Papers
- 2020
- [c11]Hongjiang Yu, Wei-Ping Zhu, Yuhong Yang:
Constrained Ratio Mask for Speech Enhancement Using DNN. INTERSPEECH 2020: 2427-2431 - [c10]Hongjiang Yu, Wei-Ping Zhu, Benoît Champagne:
Subband Kalman Filtering with DNN Estimated Parameters for Speech Enhancement. INTERSPEECH 2020: 2697-2701 - [c9]Hongjiang Yu, Wei-Ping Zhu, Benoît Champagne:
High-Frequency Component Restoration for Kalman Filter Based Speech Enhancement. ISCAS 2020: 1-5 - [c8]Hongjiang Yu, Wei-Ping Zhu:
Deep Neural Network based Complex Spectrogram Reconstruction for Speech Bandwidth Expansion. NEWCAS 2020: 110-113 - 2019
- [c7]Zhiheng Ouyang, Hongjiang Yu, Wei-Ping Zhu, Benoît Champagne:
A Fully Convolutional Neural Network for Complex Spectrogram Processing in Speech Enhancement. ICASSP 2019: 5756-5760 - [c6]Hongjiang Yu, Zhiheng Ouyang, Wei-Ping Zhu, Benoît Champagne, Yunyun Ji:
A Deep Neural Network Based Kalman Filter for Time Domain Speech Enhancement. ISCAS 2019: 1-5 - 2018
- [c5]Zhiheng Ouyang, Hongjiang Yu, Wei-Ping Zhu, Benoît Champagne:
A Deep Neural Network Based Harmonic Noise Model for Speech Enhancement. INTERSPEECH 2018: 3224-3228 - 2016
- [c4]Yuhong Yang, Yanye Wang, Ruimin Hu, Hongjiang Yu, Li Gao, Song Wang:
Level Ratio Based Inter and Intra Channel Prediction with Application to Stereo Audio Frame Loss Concealment. MMM (1) 2016: 654-661 - 2015
- [c3]Songbo Xie, Yuhong Yang, Ruimin Hu, Yanye Wang, Hongjiang Yu, ShaoLong Dong, Li Gao, Cheng Yang:
Signal-Aware Parametric Quality Model for Audio and Speech over IP Networks. MMM (1) 2015: 487-497 - 2014
- [c2]Yuhong Yang, Hongjiang Yu, Ruimin Hu, Li Gao, Song Wang, Qing Zhai, Songbo Xie:
Auditory attention based mobile audio quality assessment. ICASSP 2014: 1389-1393 - 2013
- [c1]Yuhong Yang, Hongjiang Yu, Ruimin Hu, Song Wang, Songbo Xie:
A new mobile audio quality assessment using Jitter Distortion Measure approach. QoMEX 2013: 182-187
Coauthor Index
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