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MESH2IR: Neural Acoustic Impulse Response Generator for Complex 3D Scenes



Anton Ratnarajah , Zhenyu Tang , Rohith Chandrashekar Aralikatti , Dinesh Manocha

* More results and source code is available at https://anton-jeran.github.io/M2IR/ 

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GWA: A Large High-Quality Acoustic Dataset for Audio Processing



Zhenyu Tang , Rohith Aralikatti , Anton Ratnarajah , Dinesh Manocha

* Project webpage https://gamma.umd.edu/pro/sound/gwa 

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FAST-RIR: Fast neural diffuse room impulse response generator



Anton Ratnarajah , Shi-Xiong Zhang , Meng Yu , Zhenyu Tang , Dinesh Manocha , Dong Yu

* More results and source code is available at https://anton-jeran.github.io/FRIR/ 

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Online Self-Attentive Gated RNNs for Real-Time Speaker Separation



Ori Kabeli , Yossi Adi , Zhenyu Tang , Buye Xu , Anurag Kumar

* Appears at the Workshop on Machine Learning in Speech and Language Processing 2021 

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Improving Reverberant Speech Separation with Multi-stage Training and Curriculum Learning



Rohith Aralikatti , Anton Ratnarajah , Zhenyu Tang , Dinesh Manocha


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Point-based Acoustic Scattering for Interactive Sound Propagation via Surface Encoding



Hsien-Yu Meng , Zhenyu Tang , Dinesh Manocha

* IJCAI 2021 main track paper 

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Scene-aware Far-field Automatic Speech Recognition



Zhenyu Tang , Dinesh Manocha


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TS-RIR: Translated synthetic room impulse responses for speech augmentation



Anton Ratnarajah , Zhenyu Tang , Dinesh Manocha


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