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 dance diffusion


Hidden Echoes Survive Training in Audio To Audio Generative Instrument Models

Tralie, Christopher J., Amery, Matt, Douglas, Benjamin, Utz, Ian

arXiv.org Artificial Intelligence

In our work, though, we do not seek to influence As generative techniques pervade the audio domain, the behavior of the model so drastically, but rather to there has been increasing interest in tracing back through "tag" the data in such a way that the model reproduces these complicated models to understand how they draw the tag, similarly to how [10] watermark their training on their training data to synthesize new examples, both data for a diffusion image model. We are also inspired to ensure that they use properly licensed data and also to by the recent lawsuit by Getty Images against Stable elucidate their black box behavior. In this paper, we show Diffusion when it was discovered that the latter would that if imperceptible echoes are hidden in the training often reproduce the former's watermarks in its output data, a wide variety of audio to audio architectures (differentiable [29]. We would like to do something similar with audio, digital signal processing (DDSP), Realtime but to keep it imperceptible. Audio Variational autoEncoder (RAVE), and "Dance All of the above approaches use neural networks to Diffusion") will reproduce these echoes in their outputs.


AI music generators could be a boon for artists -- but also problematic

#artificialintelligence

It was only five years ago that electronic punk band YACHT entered the recording studio with a daunting task: They would train an AI on 14 years of their music, then synthesize the results into the album "Chain Tripping." "I'm not interested in being a reactionary," YACHT member and tech writer Claire L. Evans said in a documentary about the album. "I don't want to return to my roots and play acoustic guitar because I'm so freaked out about the coming robot apocalypse, but I also don't want to jump into the trenches and welcome our new robot overlords either." But our new robot overlords are making a whole lot of progress in the space of AI music generation. Even though the Grammy-nominated "Chain Tripping" was released in 2019, the technology behind it is already becoming outdated.


AI music generators could be a boon for artists -- but also problematic

#artificialintelligence

It was only five years ago that electronic punk band YACHT entered the recording studio with a daunting task: They would train an AI on 14 years of their music, then synthesize the results into the album "Chain Tripping." "I'm not interested in being a reactionary," YACHT member and tech writer Claire L. Evans said in a documentary about the album. "I don't want to return to my roots and play acoustic guitar because I'm so freaked out about the coming robot apocalypse, but I also don't want to jump into the trenches and welcome our new robot overlords either." But our new robot overlords are making a whole lot of progress in the space of AI music generation. Even though the Grammy-nominated "Chain Tripping" was released in 2019, the technology behind it is already becoming outdated.