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Music & Audio & Voice

Music & Audio & Voice

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.

Real-Time Voice Changing: Voicemod provides real-time voice modification, allowing users to instantly transform their voices while speaking. This feature is especially useful for live streaming, gaming, and content creation. Soundboard: In addition to voice changing, Voicemod offers a soundboard feature that lets users play custom sound effects during their streams or recordings. This enhances the overall audio experience and adds entertainment value. Compatibility: Voicemod is compatible with a wide range of games and programs, including popular titles like CS:GO, Minecraft, World of Warcraft, Rust, and Fortnite. This versatility makes it a valuable tool for gamers and streamers.

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https://google-research.github.io/seanet/brain2music/

https://www.voicemod.net