* **What is Soundstorm?**
Soundstorm is a new AI model developed by Google AI that can efficiently synthesize high-quality audio from discrete conditioning tokens. It is based on a bidirectional attention-based Conformer, a model architecture that combines a Transformer with convolutions to capture both local and global structure of a sequence of tokens.
* **How does it work?**
Soundstorm first receives as input the semantic tokens of AudioLM, a large language model that can generate text that describes audio. Then, it uses bidirectional attention and confidence-based parallel decoding to generate the tokens of a neural audio codec. The neural audio codec is a model that can represent audio as a sequence of tokens.
* **What are the benefits of Soundstorm?**
Soundstorm has several benefits over existing audio generation models. First, it is much faster. Soundstorm can generate 30 seconds of audio in 0.5 seconds on a TPU-v4, while existing models can take minutes or even hours. Second, Soundstorm produces higher-quality audio. The audio produced by Soundstorm is more natural and less robotic than the audio produced by existing models.
* **What are the potential applications of Soundstorm?**
Soundstorm has a number of potential applications. It could be used to create realistic and interactive audio experiences, such as virtual concerts or audiobooks. It could also be used to improve the quality of audio in movies and TV shows. Additionally, Soundstorm could be used to develop new tools for musicians and sound designers.
* **What are the risks of Soundstorm?**
As with any new technology, there are some potential risks associated with Soundstorm. One risk is that Soundstorm could be used to create deepfakes, which are videos or audio recordings that have been manipulated to make it look or sound like someone is saying or doing something they never said or did. Another risk is that Soundstorm could be used to create harmful or offensive audio content.
Overall, Soundstorm is a promising new AI model with a number of potential applications. However, it is important to be aware of the potential risks associated with this technology.
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