Audio Synthesis with Stochastic Temporal Convolutional Networks

74095c7c fadd 4b7a 8f1e 66b614e8debd.png 500 500

Organization: Advanced Interactive Technologies

Involved Host(s): Aksan Emre

Abstract: The focus of this project is on synthesizing speech or music by using stochastic temporal convolutional networks.

PLEASE LOG IN TO SEE DESCRIPTION: This project is set to limited visibility by its publisher. To see the project description you need to log in at SiROP. Please follow these instructions: - Click link "Open this project..." below. - Log in to SiROP using your university login or create an account to see the details. If your affiliation is not created automatically, please follow these instructions:

Temporal generative modelling sequence modelling music synthesis speech synthesis

Labels: Semester Project Bachelor Thesis Master Thesis CLS Student Project (MPG ETH CLS) ETH Organization's Labels (ETHZ)
Topics: Information, Computing and Communication Sciences
Applicant Organizations: ETH Zurich EPFL - Ecole Polytechnique Fédérale de Lausanne IBM Research Zurich Lab University of Zurich IDEA League