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Qingju Liu
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2020 – today
- 2024
- [i2]Qingju Liu, Hyeongwoo Kim, Gaurav Bharaj:
Content and Style Aware Audio-Driven Facial Animation. CoRR abs/2408.07005 (2024) - 2021
- [j10]Mengyuan Li, Anmin Zhang, Dianjun Zhang, Mingwei Di, Qingju Liu:
Automatic Sounding Generalization Maintaining the Characteristics of Submarine Topography. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 14: 10278-10286 (2021)
2010 – 2019
- 2019
- [j9]Qingju Liu, Philip J. B. Jackson, Wenwu Wang:
A Speech Synthesis Approach for High Quality Speech Separation and Generation. IEEE Signal Process. Lett. 26(12): 1872-1876 (2019) - [c17]Yan Tang, Trevor J. Cox, Bruno M. Fazenda, Qingju Liu, Wenwu Wang:
Background Adaptation for Improved Listening Experience in Broadcasting. ICASSP 2019: 8008-8012 - 2018
- [j8]Yan Tang, Qingju Liu, Wenwu Wang, Trevor J. Cox:
A non-intrusive method for estimating binaural speech intelligibility from noise-corrupted signals captured by a pair of microphones. Speech Commun. 96: 116-128 (2018) - [j7]Qingju Liu, Wenwu Wang, Teofilo de Campos, Philip J. B. Jackson, Adrian Hilton:
Multiple Speaker Tracking in Spatial Audio via PHD Filtering and Depth-Audio Fusion. IEEE Trans. Multim. 20(7): 1767-1780 (2018) - [j6]Philip Coleman, Andreas Franck, Jon Francombe, Qingju Liu, Teofilo de Campos, Richard J. Hughes, Dylan Menzies, Marcos F. Simón Gálvez, Yan Tang, James Woodcock, Philip J. B. Jackson, Frank Melchior, Chris Pike, Filippo Maria Fazi, Trevor J. Cox, Adrian Hilton:
An Audio-Visual System for Object-Based Audio: From Recording to Listening. IEEE Trans. Multim. 20(8): 1919-1931 (2018) - [c16]Qingju Liu, Wenwu Wang, Philip J. B. Jackson, Saeid Safavi:
A Performance Evaluation of Several Deep Neural Networks for Reverberant Speech Separation. ACSSC 2018: 689-693 - [c15]Philip Coleman, Qingju Liu, Jon Francombe, Philip J. B. Jackson:
Perceptual Evaluation of Blind Source Separation in Object-Based Audio Production. LVA/ICA 2018: 558-567 - [c14]Qingju Liu, Yong Xu, Philip J. B. Jackson, Wenwu Wang, Philip Coleman:
Iterative Deep Neural Networks for Speaker-Independent Binaural Blind Speech Separation. ICASSP 2018: 541-545 - 2017
- [j5]Yumin Zhang, Jin Zhang, Qingju Liu:
Gas Sensors Based on Molecular Imprinting Technology. Sensors 17(7): 1567 (2017) - [c13]Qingju Liu, Wenwu Wang, Philip J. B. Jackson, Yan Tang:
A perceptually-weighted deep neural network for monaural speech enhancement in various background noise conditions. EUSIPCO 2017: 1270-1274 - [c12]Alfredo Zermini, Qingju Liu, Yong Xu, Mark D. Plumbley, Dave Betts, Wenwu Wang:
Binaural and log-power spectra features with deep neural networks for speech-noise separation. MMSP 2017: 1-6 - [i1]Philip J. B. Jackson, Filippo Maria Fazi, Frank Melchior, Trevor J. Cox, Adrian Hilton, Chris Pike, Jon Francombe, Andreas Franck, Philip Coleman, Dylan Menzies-Gow, James Woodcock, Yan Tang, Qingju Liu, Rick Hughes, Marcos F. Simón Gálvez, Teofilo de Campos, Hansung Kim, Hanne Stenzel:
Object-Based Audio Rendering. CoRR abs/1708.07218 (2017) - 2016
- [c11]Qingju Liu, Teófilo Emídio de Campos, Wenwu Wang, Adrian Hilton:
Identity association using PHD filters in multiple head tracking with depth sensors. ICASSP 2016: 1506-1510 - [c10]Qingju Liu, Yan Tang, Philip J. B. Jackson, Wenwu Wang:
Predicting Binaural Speech Intelligibility from Signals Estimated by a Blind Source Separation Algorithm. INTERSPEECH 2016: 140-144 - 2015
- [c9]Qingju Liu, Wenwu Wang, Philip J. B. Jackson, Trevor J. Cox:
A source separation evaluation method in object-based spatial audio. EUSIPCO 2015: 1088-1092 - [c8]Qingju Liu, Teofilo de Campos, Wenwu Wang, Philip J. B. Jackson, Adrian Hilton:
Person Tracking Using Audio and Depth Cues. ICCV Workshops 2015: 709-717 - 2014
- [j4]Atiyeh Alinaghi, Philip J. B. Jackson, Qingju Liu, Wenwu Wang:
Joint Mixing Vector and Binaural Model Based Stereo Source Separation. IEEE ACM Trans. Audio Speech Lang. Process. 22(9): 1434-1448 (2014) - [j3]Qingju Liu, Andrew J. Aubrey, Wenwu Wang:
Interference Reduction in Reverberant Speech Separation With Visual Voice Activity Detection. IEEE Trans. Multim. 16(6): 1610-1623 (2014) - 2013
- [j2]Qingju Liu, Wenwu Wang, Philip J. B. Jackson, Mark Barnard, Josef Kittler, Jonathon A. Chambers:
Source Separation of Convolutive and Noisy Mixtures Using Audio-Visual Dictionary Learning and Probabilistic Time-Frequency Masking. IEEE Trans. Signal Process. 61(22): 5520-5535 (2013) - [c7]Qingju Liu, Wenwu Wang:
Show-through removal for scanned images using non-linear NMF with adaptive smoothing. ChinaSIP 2013: 650-654 - 2012
- [j1]Qingju Liu, Wenwu Wang, Philip J. B. Jackson:
Use of bimodal coherence to resolve the permutation problem in convolutive BSS. Signal Process. 92(8): 1916-1927 (2012) - [c6]Qingju Liu, Wenwu Wang, Philip J. B. Jackson, Mark Barnard:
Reverberant speech separation based on audio-visual dictionary learning and binaural cues. SSP 2012: 664-667 - 2011
- [c5]Syed Mohsen Naqvi, Muhammad Salman Khan, Qingju Liu, Wenwu Wang, Jonathon A. Chambers:
Multimodal blind source separation with a circular microphone array and robust beamforming. EUSIPCO 2011: 1050-1054 - [c4]Qingju Liu, Syed Mohsen Naqvi, Wenwu Wang, Philip J. B. Jackson, Jonathon A. Chambers:
Robust feature selection for scaling ambiguity reduction in audio-visual convolutive BSS. EUSIPCO 2011: 1060-1064 - [c3]Qingju Liu, Wenwu Wang:
Blind source separation and visual voice activity detection for target speech extraction. iCAST 2011: 457-460 - 2010
- [c2]Qingju Liu, Wenwu Wang, Philip J. B. Jackson:
Use of Bimodal Coherence to Resolve Spectral Indeterminacy in Convolutive BSS. LVA/ICA 2010: 131-139 - [c1]Qingju Liu, Wenwu Wang, Philip J. B. Jackson:
Bimodal coherence based scale ambiguity cancellation for target speech extraction and enhancement. INTERSPEECH 2010: 438-441
Coauthor Index
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last updated on 2024-09-25 00:41 CEST by the dblp team
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