Lace: A Light-Weight, Causal Model for Enhancing Coded Speech Through Adaptive Convolutions-Reference-Cited by-同舟云学术

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Lace: A Light-Weight, Causal Model for Enhancing Coded Speech Through Adaptive Convolutions

Published:2023-10-22 Issue: Volume: Page:
ISSN:
Container-title:2023 IEEE Workshop on Applications of Signal Processing to Audio and Acoustics (WASPAA)
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Author:

Büthe Jan¹,Valin Jean-Marc¹,Mustafa Ahmed¹

Affiliation:

1. Amazon Web Services,Palo Alto,USA

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10248019/10248047/10248150.pdf?arnumber=10248150

Reference25 articles.

1. NESC: Robust Neural End-2-End Speech Coding with GANs

2. SoundStream: An End-to-End Neural Audio Codec

3. Weight Normalization: A Simple Reparameterization to Accelerate Training of Deep Neural Networks;salimans;NIPS,2016

4. LMCodec: A Low Bitrate Speech Codec with Causal Transformer Models

5. Generative Speech Coding with Predictive Variance Regularization

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. NOLACE: Improving Low-Complexity Speech Codec Enhancement Through Adaptive Temporal Shaping;ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP);2024-04-14

2. Bitrate-Informed Coded Speech Enhancement Model;2024 International Conference on Electronics, Information, and Communication (ICEIC);2024-01-28

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