Brain2Music: Reconstructing Music from Human Brain Activity
vsLalal.ai-Vocal Remover & Instrumental AI Splitter
Listing Type |
AITools |
AITools |
Price |
$18.00 | |
Reviews | ||
Category |
Music & Audio & Voice |
Music & Audio & Voice |
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AI Tool or Product Features |
1. Brain activity data acquired through functional magnetic resonance imaging (fMRI). This data is then compressed or transformed into a model called "MuLan". MuLan is a music language model that can represent music as a 128-dimensional vector (that is, a list containing 128 elements). Each dimension represents a certain characteristic of music, such as rhythm, melody, harmony, etc.
2. Subsequently, the music generative model MusicLM is conditioned to generate music reconstructions, and the generated music is designed to resemble as closely as possible the original stimulus, that is, the activity in the human brain when listening to music. In addition to generating new music, they also considered another method, which is to find the music that best matches the brain activity from a large existing music database.
3. They also found that two components of MusicLM (MuLan and w2v-BERT) have a certain correspondence with human brain activity in the auditory cortex. In addition, they found that the brain regions involved in extracting information from text and music overlapped. |
Vocal and Instrumental Separation: LALAL.AI excels in isolating vocals, accompaniment, and various musical instruments from audio and video files.
Voice Cleaner: It also offers a feature to clean up audio and video recordings by reducing background noise, enhancing audio quality.
Free Package: LALAL.AI offers a free package that allows users to split three songs for free, making it accessible to a broader audience. |
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Subscription | |
Free Plan |
Free Try | |
Open Source or API |
Other |
Other |
AI Product Website URL |
https://google-research.github.io/seanet/brain2music/ |
https://www.lalal.ai |
