Community

AES Journal Forum

Phase-Aware Transformations in Variational Autoencoders for Audio Effects

Document Thumbnail

This paper analyzes the impact of signal phase handling in one of the most popular architectures for the generative synthesis of audio effects: variational autoencoders (VAEs). Until quite recently, autoencoders based on the Fast Fourier Transform routinely avoided the phase of the signal. They store the phase information and retrieve it at the output or rely on signal phase regenerators such as Griffin--Lim. We evaluate different VAE networks capable of generating a latent space with intrinsic information from signal amplitude and phase. The Modulated Complex Lapped Transform (MCLT) has been evaluated as an alternative to the Short-Time Fourier Transform (STFT). A novel database on beats has been designed for testing the architectures. Results were objectively assessed (reconstruction errors and objective metrics approximating opinion scores) with autoencoders on STFT and MCAT representations, using Griffin--Lim phase regeneration, multichannel networks, as well as the Complex VAE. The autoencoders successfully learned to represent the phase information and handle it in a holistic approach. State-of-the-art quality standards were reached for audio effects. The autoencoders show a remarkable ability to generalize and deliver new sounds, while overall quality depends on the reconstruction of phase and amplitude.

Authors:
Affiliations:
JAES Volume 70 Issue 9 pp. 731-741; September 2022
Publication Date:

Click to purchase paper as a non-member or you can login as an AES member to see more options.

No AES members have commented on this paper yet.

Subscribe to this discussion

RSS Feed To be notified of new comments on this paper you can subscribe to this RSS feed. Forum users should login to see additional options.

Start a discussion!

If you would like to start a discussion about this paper and are an AES member then you can login here:
Username:
Password:

If you are not yet an AES member and have something important to say about this paper then we urge you to join the AES today and make your voice heard. You can join online today by clicking here.

AES - Audio Engineering Society