Towards Controllable Audio Texture Morphing

Author:

Gupta Chitralekha1,Kamath Purnima1,Wei Yize1,Li Zhuoyao1,Nanayakkara Suranga1,Wyse Lonce2

Affiliation:

1. National University of Singapore,Singapore

2. Universitat Pompeu Fabra,Barcelona,Spain

Publisher

IEEE

Reference24 articles.

1. Learning disentangled representations of timbre and pitch for musical instrument sounds using gaussian mixture variational autoencoders;luo;The International Society for Music Information Retrieval (ISMIR),2019

2. Parameter sensitivity of deep-feature based evaluation metrics for audio textures;gupta,2022

3. Texture synthesis using Convolutional Neural Networks;gatys;Advances in neural information processing systems,2015

4. Fréchet Audio Distance: A reference-free metric for evaluating music enhancement algorithms;kilgour;InterSpeech,2019

5. Gan-synth: Adversarial neural audio synthesis;engel,2019

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1. Sound Designer-Generative AI Interactions: Towards Designing Creative Support Tools for Professional Sound Designers;Proceedings of the CHI Conference on Human Factors in Computing Systems;2024-05-11

2. Example-Based Framework for Perceptually Guided Audio Texture Generation;IEEE/ACM Transactions on Audio, Speech, and Language Processing;2024

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

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