Label Foundation 2024 Project Roadmap
As we step into 2024, we are thrilled to unveil our ambitious roadmap for the year ahead. Guided by our vision of revolutionizing the music industry through cutting-edge AI technology, we are poised to introduce groundbreaking initiatives that will redefine the way music is created, consumed, and shared across the digital landscape.
1. AI Sound Protocol: Our AI Sound Protocol stands at the forefront of our roadmap, empowering users to harness the power of AI for sound creation, provision, and management. By leveraging blockchain and AI technologies, we ensure optimal distribution and consumption of music and voice AI across diverse platforms and devices.
“Empowering everyone to create sound through AI, enabling optimal supply and consumption across diverse platforms and devices via blockchain and AI management.”
2. AI Sound Creation: This phase of our roadmap focuses on AI-driven innovations in sound creation and voice generation. From background music creation for videos to real-time music provision optimized for individual users, we’re enabling everyone to create and enjoy personalized music experiences like never before.
1. Content Background Music Creation/Provision
1.1 (B2B) Background music creation for videos using AI, such as with SORA. Customized music will be generated after analyzing the prompt or video.
- Creation of background music for videos used on YouTube, TikTok
- (B2B) Custom background music creation/supply within games, metaverses
1.2 AI Voice Generation
- Voice generation technology used in AI content
- Blockchain management of voice content copyrights
1.3 Enabling everyone to create music for personal enjoyment or provision to others and platforms
- Utilized by 150,000 users for everyday background music in the Web3 streaming service TRACKS
- (B2B) Expansion to various devices and platforms like smartphones, smart TVs, cars
1.4 Real-time provision of music optimized for the user
- Offering music matching user consumption patterns
1.5 Use of the label’s blockchain protocol for copyright and compensation management of AI-generated music
3. Music Identity Ownership: Our commitment to user empowerment extends to the realm of music identity ownership, with the introduction of NFTization for integrated management of music preferences. Through blockchain rewards and qualitative evaluation systems, users will play an active role in shaping their music experiences.
1. NFTization of user consumption pattern data for integrated management of music preferences and patterns across platforms
2. Separation of pattern data from personal information through ZK
3. Offering optimized content through TRACKS by learning user consumption patterns
4. Validator system: Introduction of a validator system for qualitative evaluation of unique AI-generated music outcomes, allowing users to rate music and contribute to learning
5. Blockchain-based token rewards for users providing their data
6. Enhancement of AI music creation capabilities through learning data stored in music identity
7. Protocol use for management of user music data learned by AI
4. AI Sound Social Network (Q3): Our AI Sound Social Network aims to break down language barriers and foster global conversations through automatic translation of voices. By leveraging AI technologies, we’re creating a platform where users can connect and share music and sounds effortlessly.
1. Automatic translation of one’s voice for global conversations through AI
2. Elimination of language barriers in communication for building a global network
3. Plans to transmit not only voice but also music and various sounds
4. Securing AI voice and sound creation capabilities through social service data
5. Protocol use for management of voice learning data and language data through AI
5. Differentiation of the Label: To ensure the integrity and authenticity of our platform, we’re implementing a multi-layer structure for identity and copyright management. Additionally, we’re prioritizing the securing of datasets crucial for AI advancements, fostering mass adoption through platforms like TRACKS and our sound social services.
- Multi-layer structure to implement identity and copyright
- Identity Layer: Based on Ethereum, determines network operating permissions, focusing on identity and authentication.
- Data Layer: Stores information approved by the identity layer and ensures its availability.
- Application Layer: Utilizes information from the data layer to provide services to users.
2. Dataset: Securing datasets is crucial in the AI field
- Building platforms and user bases capable of mass adoption, like the free streaming service TRACKS and sound social services.
