Expanding the Frontiers of Web Audio With Autoencoders and JavaScript

Cámara M, Blanco JL. Expanding the Frontiers of Web Audio With Autoencoders and JavaScript. J Audio Eng Soc. 2022;70(11):979-989. doi:10.17743/jaes.2022.0046

@article{Camara2022_22021,
  author = {Cámara, Mateo and Blanco, José Luis},
  title = {{Expanding the Frontiers of Web Audio With Autoencoders and JavaScript}},
  journal = {Journal of the Audio Engineering Society},
  volume = {70},
  number = {11},
  pages = {979--989},
  year = {2022},
  month = nov,
  publisher = {Audio Engineering Society},
  doi = {10.17743/jaes.2022.0046},
  url = {https://doi.org/10.17743/jaes.2022.0046}
}

TY  - JOUR
TI  - Expanding the Frontiers of Web Audio With Autoencoders and JavaScript
AU  - Cámara, Mateo
AU  - Blanco, José Luis
T2  - Journal of the Audio Engineering Society
J2  - J. Audio Eng. Soc.
VL  - 70
IS  - 11
SP  - 979
EP  - 989
PY  - 2022
DA  - 2022/11/06
DO  - 10.17743/jaes.2022.0046
UR  - https://doi.org/10.17743/jaes.2022.0046
PB  - Audio Engineering Society
LA  - en
AB  - This paper presents a non-backend web architecture for generative audio mixing from the Freesound website using a Variational Autoencoder. It is designed to experiment with the nonexisting audios in large audio databases without the need to populate them. It works directly from the browser using JavaScript tools with a serverless approach and relies exclusively on the computational capacity of the client. The platform's Graphical User Interface allows rapid sampling of the autoencoder sound space and is under active development while the logic is finalized. A Variational Autoencoder has been trained to serve as the default model. Users can upload their own to operate independently. The platform aims to provide users with a straightforward and quick-access interface to generative sounds, supporting the audiovisual industry by filling the existing gaps in audio repositories with synthetic media.
ER  -