InverSynth: Deep Estimation of Synthesizer Parameter Configurations From Audio Signals-Reference-Cited by-同舟云学术

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InverSynth: Deep Estimation of Synthesizer Parameter Configurations From Audio Signals

Published:2019-12 Issue:12 Volume:27 Page:2385-2396
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:

Barkan Oren^ORCID,Tsiris David^ORCID,Katz Ori,Koenigstein Noam

Funder

IEEE International Conference on Acoustics, Speech and Signal Processing, Brighton, U.K.

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Acoustics and Ultrasonics,Computer Science (miscellaneous),Computational Mathematics

Link

http://xplorestaging.ieee.org/ielx7/6570655/8817316/08854832.pdf?arnumber=8854832

Cited by 11 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. A Counterfactual Framework for Learning and Evaluating Explanations for Recommender Systems;Proceedings of the ACM Web Conference 2024;2024-05-13

2. A review of differentiable digital signal processing for music and speech synthesis;Frontiers in Signal Processing;2024-01-11

3. Learning to Solve Inverse Problems for Perceptual Sound Matching;IEEE/ACM Transactions on Audio, Speech, and Language Processing;2024

4. Latent Space Interpolation of Synthesizer Parameters Using Timbre-Regularized Auto-Encoders;IEEE/ACM Transactions on Audio, Speech, and Language Processing;2024

5. Stochastic Integrated Explanations for Vision Models;2023 IEEE International Conference on Data Mining (ICDM);2023-12-01

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