Predicting Room Impulse Responses Through Encoder-Decoder Convolutional Neural Networks-Reference-Cited by-同舟云学术

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Predicting Room Impulse Responses Through Encoder-Decoder Convolutional Neural Networks

Published:2023-09-17 Issue: Volume: Page:
ISSN:
Container-title:2023 IEEE 33rd International Workshop on Machine Learning for Signal Processing (MLSP)
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Author:

Martin I.¹,Pastor F.²,Fuentes-Hurtado F.³,Belloch J.A.¹,Azpicueta-Ruiz L.⁴,Naranjo V.⁵,Piñero G.⁵

Affiliation:

1. Universidad Carlos III de Madrid,Dep. Tecnología Electrónica,Spain

2. I3B, Universitat Politècnica de València,Spain

3. Universidad Politécnica de Madrid,Dep. Sistemas Informáticos,Spain

4. Universidad Carlos III de Madrid,Dep. Teoría de la Señal y Comunicaciones,Spain

5. ITEAM, Universitat Politécnica de València,Spain

Funder

European Research Council

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10285838/10285858/10285887.pdf?arnumber=10285887

Reference22 articles.

1. Sound field reconstruction in rooms: Inpainting meets super-resolution

2. Low-Rank Room Impulse Response Estimation

3. Deep Prior Approach for Room Impulse Response Reconstruction

4. Spatial reconstruction of sound fields using local and data-driven functions

5. Stacked denoising autoencoders: Learning useful representations in a deep network with a local denoising criterion;vincent;Journal of Machine Learning Research,2010

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