Yongbao Ma

According to our database1, Yongbao Ma authored at least 11 papers between 2016 and 2022.

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

Timeline

Legend:

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PhD thesis 
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Links

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Bibliography

2022
Convolutional Recurrent Neural Network Based on Short-Time Discrete Cosine Transform for Monaural Speech Enhancement.
Proceedings of the Communications and Networking - 17th EAI International Conference, 2022

2021
Wind turbine blade fault detection by acoustic analysis: Preliminary results.
Proceedings of the IEEE International Conference on Signal Processing, 2021

A New Lightweight Dual-Microphone RNN-VAD Assist Adaptive Blocking Matrix for Dual-Channel Speech Enhancement.
Proceedings of the IEEE International Conference on Signal Processing, 2021

A Robust Acoustic Echo Canceller Based on Subband Fast Kalman Algorithm and Daul-filter Structure.
Proceedings of the IEEE International Conference on Signal Processing, 2021

A New Real-Time Noise Suppression Algorithm for Far-Field Speech Communication Based on Recurrent Neural Network.
Proceedings of the IEEE International Conference on Signal Processing, 2021

2020
A Real-Time Dual-Microphone Speech Enhancement Algorithm Assisted by Bone Conduction Sensor.
Sensors, 2020

A New Real-Time Acoustic Echo Cancellation Algorithm Using Blind Source Separation and Multi-delay Filter.
Proceedings of the 9th IEEE/CIC International Conference on Communications in China, 2020

2019
Noise Robust Sound Event Detection Using Deep Learning and Audio Enhancement.
Proceedings of the IEEE International Symposium on Signal Processing and Information Technology, 2019

A Unified Front-end Anti-interference Approach for Robust Automatic Speech Recognition.
Proceedings of the IEEE International Symposium on Signal Processing and Information Technology, 2019

2018
A Robust Generalized Sidelobe Canceller Controlled by a Priori SIR Estimate.
Proceedings of the 3rd International Conference on Multimedia Systems and Signal Processing, 2018

2016
MMSE estimation of speech power spectral density under speech presence uncertainty for automatic speech recognition.
Proceedings of the 2016 IEEE International Conference on Digital Signal Processing, 2016


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