Donate
Donate
Adversarial Audio Synthesis
Add an identifier
Thank You!
Abstract: Audio signals are sampled at high temporal resolutions, and learning to
synthesize audio requires capturing structure across a range of timescales.
Generative adversarial networks (GANs) have seen wide success at generating
images that are both locally and globally coherent, but they have seen little
application to audio generation. In this paper we introduce WaveGAN, a first
attempt at applying GANs to unsupervised synthesis of raw-waveform audio.
WaveGAN is capable of synthesizing one second slices of ...
Recent Votes
Recent Awards •
All
Invitee to
Yuval Filmus
▴
15
Founding Contributor to
FrankS
▴
55
Invitee to
marco.fellous-asiani
▴
15
Founding Contributor to
Ken
▴
45
Recent Replies
Answer: When a question is asked about a paper, are the authors contacted?
by
Andy
46
It depends.
**Authors that are registered users:**
If an author of the paper is
- a registered user,
- known to be the author (se…
Answer: How to write a good question?
by
Andy
46
There are no hard rules criteria for what makes a "good" post. The most important thing is that it either contains **information that's us…
Answer: Implementing an algorithm
by
Andy
46
Use a distibution that's symmetric around the origin and normalize the results so they lie on the sphere. E.g. you can use a Gaussian. He…
Answer: Application of Property RD
by
Dustin
125
It is used to prove the bound in proposition 4.6 which is then used crucially in proposition 4.7 to prove the uniform boundedness of the op…
Traffic: 1 users visited in the last hour