Neutune provides a next-generation music creation platform through the development of the latest AI-based music technology.
Neutune provides a next-generation music creation platform through the development of the latest AI-based music technology.
We have the core technology that meets the steps of the “Construction → Search → Combination → Utilization” of music assets.
We have the core technology that meets the steps of the “Construction → Search → Combination → Utilization” of music assets.
Music generation
Automatic Mixing
Automatic music creation using music assets:
Easy creation of simple background music as you like
Automatic music creation using music assets: Easy creation of simple background music as you like
Sample/ Music similarity, Cover song detection,
Query-by-(singer, example, video)
Sample/ Music similarity
Cover song detection
Query-by-(singer, example, video)
AI-based music analysis and search:
'Sample and music similarity search, music feature analysis' that helps users easily find music assets that are difficult to find with tags
AI-based music analysis and search: 'Sample and music similarity search, music feature analysis' that helps users easily find music assets that are difficult to find with tags
Music structure analysis
DJ mix analysis
Automatic music structure analysis and application:
Analyze and utilize music structure to help users use music assets efficiently
Automatic music structure analysis and application: Analyze and utilize music structure to help users use music assets efficiently
Plagiarism detection
Copyright monitoring
Music asset license protection:
Users can check posted music for plagiarism, or find out how similar own songs are unintentionally to other songs.
Music asset license protection: Users can check posted music for plagiarism, or find out how similar own songs are unintentionally to other songs.
다양한 음악 에셋 (악기, 샘플, 루프..)을 구축, 검색, 조합, 그리고 활용할 수 가능케 하는 핵심 기술을 연구합니다
We developed NeuroScape, an AI Soundscape system that automatically maps the corresponding sound/image, after analyzing the natural or urban scenery image with an artificial intelligence algorithm. Through this, we explore new way of artistic expression with sounds, moving images, and texts.
We presented Mixed Scape, a framework for research and artistic exploration based on environmental sound within Mixed Reality domains. We redefined the spectrum of auditory mixed realities by reviewing existing continua concepts of MR and exploring artistic and scientific research examples in environmental sound.
We pursue the best immersive experience content by composing audio-visual scenes that combine environmental sounds and music in real and virtual spaces. To this, we design the ideal acoustic environment and musical narrative by exploring exhibitions, cinemas and theatrical experiences.
We present a new auditory experience for the future mobility environment, such as creating new music playlists that combine the musical tastes of the driver and the passenger, as well as generating ambient music and soundscape for driving routes.