Audio Super-Resolution With Robust Speech Representation Learning of Masked Autoencoder-Reference-Cited by-同舟云学术

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Audio Super-Resolution With Robust Speech Representation Learning of Masked Autoencoder

Published:2024 Issue: Volume:32 Page:1012-1022
ISSN:2329-9290
Container-title:IEEE/ACM Transactions on Audio, Speech, and Language Processing
language:
Short-container-title:IEEE/ACM Trans. Audio Speech Lang. Process.

Author:

Kim Seung-Bin¹^ORCID,Lee Sang-Hoon¹^ORCID,Choi Ha-Yeong¹^ORCID,Lee Seong-Whan¹^ORCID

Affiliation:

1. Department of Artificial Intelligence, Korea University, Seoul, South Korea

Funder

Institute of Information & communications Technology Planning & Evaluation

Korea Government

Artificial Intelligence Graduate School Program

Artificial Intelligence Innovation Hub

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/6570655/10304349/10381805.pdf?arnumber=10381805

Reference69 articles.

1. Neural Network-Based Artificial Bandwidth Expansion of Speech

2. Bandwidth Extension of Telephone Speech Using a Neural Network and a Filter Bank Implementation for Highband Mel Spectrum

3. Representation Learning for Single-Channel Source Separation and Bandwidth Extension

4. Audio Bandwidth Extension Based on Ensemble Echo State Networks with Temporal Evolution

5. NU-Wave: A Diffusion Probabilistic Model for Neural Audio Upsampling

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