Hongjiang Yu

According to our database, Hongjiang Yu authored at least 17 papers between 2013 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Multi-Spectral and Multi-Temporal Features Fusion With SE Network for Anomalous Sound Detection.

Dewei Kong, Hongjiang Yu, Guoshun Yuan

IEEE Access, 2024

2023

Low-Power Feature-Attention Chinese Keyword Spotting Framework with Distillation Learning.

Lei Lei, Guoshun Yuan, Tianle Zhang, Hongjiang Yu

ACM Trans. Asian Low Resour. Lang. Inf. Process., January, 2023

Multilingual Customized Keyword Spotting Using Similar-Pair Contrastive Learning.

Lei Lei, Guoshun Yuan, Hongjiang Yu, Dewei Kong, Yuefeng He

IEEE ACM Trans. Audio Speech Lang. Process., 2023

2022

PACDNN: A phase-aware composite deep neural network for speech enhancement.

Mojtaba Hasannezhad, Hongjiang Yu, Wei-Ping Zhu, Benoît Champagne

Speech Commun., 2022

2020

Speech enhancement using a DNN-augmented colored-noise Kalman filter.

Hongjiang Yu, Wei-Ping Zhu, Benoît Champagne

Speech Commun., 2020

A hybrid speech enhancement system with DNN based speech reconstruction and Kalman filtering.

Hongjiang Yu, Wei-Ping Zhu, Zhiheng Ouyang, Benoît Champagne

Multim. Tools Appl., 2020

Deep Neural Network based Complex Spectrogram Reconstruction for Speech Bandwidth Expansion.

Hongjiang Yu, Wei-Ping Zhu

Proceedings of the 18th IEEE International New Circuits and Systems Conference, 2020

High-Frequency Component Restoration for Kalman Filter Based Speech Enhancement.

Hongjiang Yu, Wei-Ping Zhu, Benoît Champagne

Proceedings of the IEEE International Symposium on Circuits and Systems, 2020

Constrained Ratio Mask for Speech Enhancement Using DNN.

Hongjiang Yu, Wei-Ping Zhu, Yuhong Yang

Proceedings of the 21st Annual Conference of the International Speech Communication Association, 2020

Subband Kalman Filtering with DNN Estimated Parameters for Speech Enhancement.

Hongjiang Yu, Wei-Ping Zhu, Benoît Champagne

Proceedings of the 21st Annual Conference of the International Speech Communication Association, 2020

2019

A Deep Neural Network Based Kalman Filter for Time Domain Speech Enhancement.

Hongjiang Yu, Zhiheng Ouyang, Wei-Ping Zhu, Benoît Champagne, Yunyun Ji

Proceedings of the IEEE International Symposium on Circuits and Systems, 2019

A Fully Convolutional Neural Network for Complex Spectrogram Processing in Speech Enhancement.

Zhiheng Ouyang, Hongjiang Yu, Wei-Ping Zhu, Benoît Champagne

Proceedings of the IEEE International Conference on Acoustics, 2019

2018

A Deep Neural Network Based Harmonic Noise Model for Speech Enhancement.

Zhiheng Ouyang, Hongjiang Yu, Wei-Ping Zhu, Benoît Champagne

Proceedings of the 19th Annual Conference of the International Speech Communication Association, 2018

2016

Level Ratio Based Inter and Intra Channel Prediction with Application to Stereo Audio Frame Loss Concealment.

Yuhong Yang, Yanye Wang, Ruimin Hu, Hongjiang Yu, Li Gao, Song Wang

Proceedings of the MultiMedia Modeling - 22nd International Conference, 2016

2015

Signal-Aware Parametric Quality Model for Audio and Speech over IP Networks.

Songbo Xie, Yuhong Yang, Ruimin Hu, Yanye Wang, Hongjiang Yu, ShaoLong Dong, Li Gao, Cheng Yang

Proceedings of the MultiMedia Modeling - 21st International Conference, 2015

2014

Auditory attention based mobile audio quality assessment.

Yuhong Yang, Hongjiang Yu, Ruimin Hu, Li Gao, Song Wang, Qing Zhai, Songbo Xie

Proceedings of the IEEE International Conference on Acoustics, 2014

2013

A new mobile audio quality assessment using Jitter Distortion Measure approach.

Yuhong Yang, Hongjiang Yu, Ruimin Hu, Song Wang, Songbo Xie

Proceedings of the Fourth International Workshop on Quality of Multimedia Experience, 2013