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2020 – today
- 2024
[j3]Yang Xiang
, Jesper Lisby Højvang, Morten Højfeldt Rasmussen, Mads Græsbøll Christensen:
A Two-Stage Deep Representation Learning-Based Speech Enhancement Method Using Variational Autoencoder and Adversarial Training. IEEE ACM Trans. Audio Speech Lang. Process. 32: 164-177 (2024)- 2022
- [j2]Yang Xiang, Liming Shi, Jesper Lisby Højvang, Morten Højfeldt Rasmussen, Mads Græsbøll Christensen:
A speech enhancement algorithm based on a non-negative hidden Markov model and Kullback-Leibler divergence. EURASIP J. Audio Speech Music. Process. 2022(1): 22 (2022) - [c10]Yang Xiang, Jesper Lisby Højvang, Morten Højfeldt Rasmussen, Mads Græsbøll Christensen:
A deep representation learning speech enhancement method using β-VAE. EUSIPCO 2022: 359-363 - [c9]Yang Xiang, Jesper Lisby Højvang, Morten Højfeldt Rasmussen, Mads Græsbøll Christensen:
A Bayesian Permutation Training Deep Representation Learning Method for Speech Enhancement with Variational Autoencoder. ICASSP 2022: 381-385 - [i4]Yang Xiang, Jesper Lisby Højvang, Morten Højfeldt Rasmussen, Mads Græsbøll Christensen:
A Bayesian Permutation training deep representation learning method for speech enhancement with variational autoencoder. CoRR abs/2201.09875 (2022) - [i3]Yang Xiang, Jesper Lisby Højvang, Morten Højfeldt Rasmussen, Mads Græsbøll Christensen:
A deep representation learning speech enhancement method using β-VAE. CoRR abs/2205.05581 (2022) - [i2]Yang Xiang, Jesper Lisby Højvang, Morten Højfeldt Rasmussen, Mads Græsbøll Christensen:
A Two-Stage Deep Representation Learning-Based Speech Enhancement Method Using Variational Autoencoder and Adversarial Training. CoRR abs/2211.09166 (2022) - 2021
- [c8]Yang Xiang, Liming Shi, Jesper Lisby Højvang, Morten Højfeldt Rasmussen, Mads Græsbøll Christensen:
A Novel NMF-HMM Speech Enhancement Algorithm Based on Poisson Mixture Model. ICASSP 2021: 721-725 - 2020
- [c7]Yang Xiang, Liming Shi, Jesper Lisby Højvang, Morten Højfeldt Rasmussen, Mads Græsbøll Christensen:
An NMF-HMM Speech Enhancement Method Based on Kullback-Leibler Divergence. INTERSPEECH 2020: 2667-2671 - [i1]Yang Xiang, Liming Shi, Jesper Lisby Højvang, Morten Højfeldt Rasmussen, Mads Græsbøll Christensen:
A Speech Enhancement Algorithm based on Non-negative Hidden Markov Model and Kullback-Leibler Divergence. CoRR abs/2006.16689 (2020)
2010 – 2019
- 2018
- [j1]Zheng-Hua Tan, Nicolai Bæk Thomsen, Xiaodong Duan, Evgenios Vlachos, Sven Ewan Shepstone, Morten Højfeldt Rasmussen, Jesper Lisby Højvang:
iSocioBot: A Multimodal Interactive Social Robot. Int. J. Soc. Robotics 10(1): 5-19 (2018) - 2013
- [c6]Morten Højfeldt Rasmussen, Zheng-Hua Tan:
Fusing eye-gaze and speech recognition for tracking in an automatic reading tutor - a step in the right direction? SLaTE 2013: 112-115 - 2011
- [c5]Morten Højfeldt Rasmussen, Jack Mostow, Zheng-Hua Tan, Børge Lindberg, Yuanpeng Li:
Evaluating tracking accuracy of an automatic reading tutor. SLaTE 2011: 17-20 - [c4]Morten Højfeldt Rasmussen, Børge Lindberg, Zheng-Hua Tan:
Combining acoustic and language model miscue detection methods for adult dyslexic read speech. SLaTE 2011: 21-24
2000 – 2009
- 2009
- [c3]Morten Højfeldt Rasmussen, Zheng-Hua Tan, Børge Lindberg, Søren Holdt Jensen:
A system for detecting miscues in dyslexic read speech. INTERSPEECH 2009: 1467-1470 - 2007
- [c2]Lars Bo Larsen, Kasper Løvborg Jensen, Søren Larsen, Morten Højfeldt Rasmussen:
A paradigm for mobile speech-centric services. INTERSPEECH 2007: 674-677 - [c1]Lars Bo Larsen, Kasper Løvborg Jensen, Søren Larsen, Morten Højfeldt Rasmussen:
Affordance in mobile speech-based user interaction. Mobile HCI 2007: 285-288
Coauthor Index
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last updated on 2024-08-27 21:59 CEST by the dblp team
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