Draft:Wavv

= Wavv =

Wavv is an artificial intelligence music platform. It aims to make everyone a musician.

Wavv has independently developed a large-scale music language model called Musica, which serves as the foundation for their core product, MusicGPT. Currently, Wavv has released "MusicGPT V2", an AI product that can transform natural language text into music within 15 seconds.

Wavv, specializes in using innovative technology to create adaptive music. Adaptable music dynamically alters in real time to accompany movements in a variety of scenarios, such as video games, virtual reality, workouts, and Snapchat effects. Artificial intelligence is used to rearrange bits of existing music (‘stems') to construct bespoke compositions adapted to the user's actions, similar to a film soundtrack complementing a scene.

History
Foundation

Wavv was founded in 2022 by Ivan Linn, a co-producer and original artist of iconic video game soundtracks such as "Final Fantasy" and "Kingdom Hearts". He also served as the music director for Ubisoft Entertainment's "Assassin's Creed: Symphony". "Assassin's Creed" won a Grammy Awards early 2023, becoming the first video game soundtrack to receive a major music award in Grammy Awards history.

The founding team of Wavv includes Alex Wu, the former head of product security at X (formerly Twitter), and Musasi, the chief designer of Bahamut.

Development

In June 2023, Wavv unveiled its first text-to-music product based on a generative artificial intelligence model, "MusicGPT."

On September 15, 2023, Wavv officially unveiled "Musica," Wavv's large-scale music language model.

In October 2023, Wavv launched MusicGPT V2.

Product
MusicGPT v2

MusicGPT is a development in AI-driven music composition.

MusicGPT v2 is able to create music compositions in just a few seconds, and it currently covers three different genres.

1. Peaceful piano genre: creating calming melodies and notes.

2. Deep sleep genre: generates specific audio frequencies to aid in falling asleep.

3. Romantic genre: creates an ambiance for intimate settings.

The "Blackbox" audio processing protocol introduced by MusicGPT v2 sets a new standard for high quality audio in AI-generated music via autonomous post-production. The final sound quality is similar to that of human-composed and live-performed music.

Musica

Since 2023, Wavv has been dedicated to developing Musica, a large-scale music language model (lmLM). Musica translates emotional tags into corresponding notes and tones, combining them with matching beats and rhythms, and ultimately creating comprehensive musical compositions.

Wavv is the first to introduce a language model designed exclusively for music composition. CEO Ivan Linn has described it as such: “The scope of the generative AI is quite straightforward; it’s autonomous music production, which in a way will be able to assist and enable artists to come up with more creative music, songs, or what we call digital assets.” This new technique coincides with fundamental concepts and norms of music theory, allowing the creation of music that resonates with both trained musicians and amateurs.

Wavv has built its AI model based on the musical theory of 12 major and 12 minor scales in Western music.

Machine Learning In Musical Composition
The introduction of computers has enabled the experimental investigation of previously abstract ideas. Machine Learning, a rising topic in computer science, exemplifies this change. It began with AI researchers aiming to address complex issues without using direct methods, diving into knowledge acquisition and representation. The transition from "Expert Systems" to systems that learn their own knowledge has resulted in systems that outperform manually coded systems in a variety of disciplines.

While algorithmic composition isn't a new idea (Mozart's musical dice game is an early example), computers take it to the next level. They allow composers to create complex composition systems quickly and flawlessly. This evolution is not about automation, but rather about promoting a completely new conceptual approach to music composition, aided by algorithms.

The combination of machine learning and music has potential. Computer accompaniment systems, which were developed in the mid-1980s, synchronize with live artists, mimicking human accompaniment. These systems employ artificial intelligence approaches to evaluate inaccurate performance data and make musical decisions in real time.

Technology Use
CMU MIDI Toolkit (CMT)

The CMU MIDI Toolkit (CMT) was a software package created for computer music instruction, research, and performance. It includes a compiler for a text-based music language as well as facilities for real-time MIDI data processing. Key components were Adagio for musical notation, MIDI recording or playback programs, a real-time programming environment (Moxc), and tools for MIDI sequence manipulation. Despite becoming obsolete due to its text-based interfaces and early OS dependencies, its MIDI file processing features were merged into Nyquist, and its real-time notions impacted Aura.

AI music creation involves collecting diverse music datasets, translating musical patterns into a language the AI understands, training algorithms to predict sequences, generating music based on learned styles, refining it with human intervention, and continuously improving through updates and feedback. This iterative process develops AI into a powerful tool for music production.

Copyright Debate
The development of AI-generated music has prompted serious copyright concerns. The capability of AI to make music that is indistinguishable from human compositions, labeled "deep fakes," has sparked discussions regarding ownership and copyright violations. This worry prompted large companies such as Warner Music Group to urge measures to prevent AI from recreating their artists' work, emphasizing the need to protect artists' rights and avoid illegal use of their music.

AI's participation in music has evolved since Alan Turing's tests in 1951. However, legal precedents and a Q's– 1965 assessment by the Copyright Office raise unanswered problems about AI's ability to claim authorship.

Current copyright regulations in the United States promote human creation, making it difficult to recognize AI as a legitimate author. Artists that use AI generally assign copyright to themselves, in accordance with existing legal frameworks. The current argument focuses on whether AI systems can properly claim authorship over the music they create, revealing a complicated intersection of technology and copyright regulations.

The impact of AI on the music industry is a transformational wave that is transforming composition, production, and distribution. It streamlines music creation and production procedures, as well as improving fan experiences while remaining cost-effective. However, a balanced approach is required, combining technology with ethical considerations and tackling growing difficulties. This fusion of human creativity and AI portends a future in which music creative innovation provides many growth options for the industry's expansion.

Freemium Model For Unrestricted Access
Wavv offers MusicGPT v2 with a freemium model, allowing users free access to its capability of creating melodies of which they choose from the platform. Music fans who want to download their works can sign up for a premium subscription plan.

User Interface