Hao Li

Orcid: 0009-0002-2615-2195

Affiliations:
  • Inner Mongolia University, Department of Computer Science, Hohhot, China


According to our database1, Hao Li authored at least 22 papers between 2016 and 2024.

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

Timeline

Legend:

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Links

Online presence:

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Bibliography

2024
Attention-Based Beamformer For Multi-Channel Speech Enhancement.
CoRR, 2024

3S-TSE: Efficient Three-Stage Target Speaker Extraction for Real-Time and Low-Resource Applications.
Proceedings of the IEEE International Conference on Acoustics, 2024

Cross-Attention-Guided Wavenet for Mel Spectrogram Reconstruction in The ICASSP 2024 Auditory EEG Challenge.
Proceedings of the IEEE International Conference on Acoustics, 2024

2023
Neural Multi-Channel and Multi-Microphone Acoustic Echo Cancellation.
IEEE ACM Trans. Audio Speech Lang. Process., 2023

Cross-Subject Classification of Spoken Mandarin Vowels and Tones with EEG Signals: A Study of End-to-End CNN with Fine-Tuning.
Proceedings of the Asia Pacific Signal and Information Processing Association Annual Summit and Conference, 2023

2022
RAT: RNN-Attention Transformer for Speech Enhancement.
Proceedings of the 13th International Symposium on Chinese Spoken Language Processing, 2022

Speakerfilter-Pro: an improved target speaker extractor combines the time domain and frequency domain.
Proceedings of the 13th International Symposium on Chinese Spoken Language Processing, 2022

2021
Recurrent Neural Networks and Acoustic Features for Frame-Level Signal-to-Noise Ratio Estimation.
IEEE ACM Trans. Audio Speech Lang. Process., 2021

Guided Training: A Simple Method for Single-channel Speaker Separation.
CoRR, 2021

DBNet: A Dual-Branch Network Architecture Processing on Spectrum and Waveform for Single-Channel Speech Enhancement.
Proceedings of the 22nd Annual Conference of the International Speech Communication Association, Interspeech 2021, Brno, Czechia, August 30, 2021

2020
Frame-Level Signal-to-Noise Ratio Estimation Using Deep Learning.
Proceedings of the 21st Annual Conference of the International Speech Communication Association, 2020

Beamformed Feature for Learning-based Dual-channel Speech Separation.
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

Speakerfilter: Deep Learning-Based Target Speaker Extraction Using Anchor Speech.
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

Robust Speech Dereverberation Based on WPE and Deep Learning.
Proceedings of the Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, 2020

2019
A Robust Text-independent Speaker Verification Method Based on Speech Separation and Deep Speaker.
Proceedings of the IEEE International Conference on Acoustics, 2019

Improve Data Utilization with Two-stage Learning in CNN-LSTM-based Voice Activity Detection.
Proceedings of the 2019 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, 2019

Dynamic-attention based Encoder-decoder model for Speaker Extraction with Anchor speech.
Proceedings of the 2019 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, 2019

2018
Online Direction of Arrival Estimation Based on Deep Learning.
Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

2017
Integrated Speech Enhancement Method Based on Weighted Prediction Error and DNN for Dereverberation and Denoising.
CoRR, 2017

Using optimal ratio mask as training target for supervised speech separation.
Proceedings of the 2017 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, 2017

2016
Jointly Optimizing Activation Coefficients of Convolutive NMF Using DNN for Speech Separation.
Proceedings of the 17th Annual Conference of the International Speech Communication Association, 2016

Exploiting spectro-temporal structures using NMF for DNN-based supervised speech separation.
Proceedings of the 2016 IEEE International Conference on Acoustics, 2016


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