Orchestral Tools and PML teamed up with 5 of their favourite contemporary producers, gave them full access to all available OT sample libraries and let them all create tonal & atonal percussion loops, atmospheres, melodic / harmonic themes and a lot more.

Claim your copy of our annual guide to free music technology resources, designed especially for music teachers. Discover interactive music websites, software, productivity tools, and assessment resources you can use in your music classroom for free.


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Artificial intelligence has already begun causing massive changes in the way artists develop and market their work, from everything to the creation of new music to designing album (or magazine) covers. New AI production tools can help independent musicians, allowing for new ways to experiment and reducing the amount of time spent during the music production process. Through accessing various neural networks, AI music tools are able to generate new music via meta analysis and understanding the patterns of track compositions. Once enough information has been acquired, the tools can learn and mimic unique patterns of music and help producers create magic.

The Orb melody plugin delivers countless ideas for melodies which come fully equipped with useful controllers and options to get the right melody for your musical creations. It works with the Orb Bass module, which conducts analysis over the whole harmony and suggests the best bassline for your track. Orb Arpeggio mode is a module delivering arpeggios (the notes of a chord played in rapid succession, either ascending or descending), with abundant parameters fit for more advanced users. Finally, the orb synth plugin, which offers the classic elements of any synthesiser including a reverb, a delay and a crunchy drive.

I've tried tools like Shazam, SoundHound and AHA Music, but these only work if the specific game has an official soundtrack available on the music databases they use, so they'll recognise music tracks from those soundtracks but won't recognise anything else (which is kinda useless as the majority of video game music is not on official soundtracks). Even Google Sound Search doesn't get the job done and does the same thing, which is surprising as most of these soundtracks are available on youtube.

Music creates order out of chaos: for rhythm imposes unanimity upon the divergent, melody imposes continuity upon the disjointed, and harmony imposes compatibility upon the incongruous.

The online site includes 3,000+ interactive activities to use on computers and student devices! We're constantly updating and finding new ways to use gamification to reinforce concepts. You'll find fun music games, solfa and note naming activities, tone ladders, beat and rhythm activities, melody composition tools, rhythm composition tools, pop quizzes, and more!

Believe it or not, AI is now capable of composing music and doing a pretty good job at it. AI music generators use complex algorithms and vast databases of music to create new compositions. They analyze rhythm, melody, and harmony patterns and use this information (and much more) to compose new pieces. It studies previously created music to create (theoretically) new and original music and tracks.

Video is a powerful asset in the world of digital marketing. In the past, creating, editing, and enhancing videos required extensive knowledge of editing tools or countless tutorials to get up to speed. With the artificial intelligence (AI) world growing at a break-neck pace, even the most novice...

In the dynamic field of content creation, emerging tools and AI technologies are revolutionizing how we write. One notable tool is Rytr AI, one of the most popular AI writing assistants. This comprehensive Rytr review takes a closer look at the platform, highlighting its unique AI-driven features...

The software is compatible with many instruments such as guitar, drums, bass, piano, ukulele and many others! You can make tablatures for each instrument, scroll the music score, write your music and use many pedagogical tools such as a chord dictionary or a scale library. Transposition features are also available to easily transcribe your songs from one instrument to another.

WavTool is an AI-powered program that gives music producers a free, web-based environment to work. The tool aims to provide high-quality music production with features including side-chain compression, sophisticated synthesis, and adaptable signal routing. WavTool also has Conductor, a function that offers simple English instructions for novices and provides assistance in the form of chord suggestions, beat creation, and melody generation. Since the AI can grasp concepts and offer suggestions, creating music is now effortless. WavTool evolves alongside its users, adding capabilities like plugin modification and signal routing to provide a full suite of tools for creating music. WavTool is a comprehensive program that allows its users to record, create, produce, mix, master, and export audio without downloading, installing, or updating any additional software. It provides users with a straightforward interface, requires no setup or waiting, and includes everything they need to start making music immediately. Everyone has free, unlimited access to the tool, and there are social media options for getting help and sharing ideas.

The simple way around this is to give you very specific exercises which only require specific decisions to be made. For instance, how to write a melody over a chord progression that you already have. Once you can do that, you learn to write chord progressions alone. And then you combine the two skills.

Film scoring requires a firm grasp of the fundamentals of composition, regardless of the style you choose. But if you want to compose like John Williams, then I suggest really getting in depth on harmony, counterpoint, form, melody, and orchestration. John Williams is a master of all of these. Just listen to the Jaws score, in which he wrote a very impressive fugue.

Captain Melody Epic helps you find the perfect melody, regardless of key, scale, or your playing ability. Pick your parameters like key, rhythm, and style, choose the number of measures, generate in-key ideas instantly, and then tweak to perfection.



Blue notes are stable and boring. Green notes are interesting. Yellow notes are tense. Red notes are offscale. You can quickly visualize how your melody relates to your chords using our patented technology.


Other tools offer to automate parts of the production process that many producers tend to outsource. LANDR will produce an AI-automated master of your track for a fraction of the cost of hiring a professional mastering engineer. You simply upload your premaster to their website, choose between a handful of mastering styles and loudness levels, and download the mastered product.

Artificial Intelligence is changing the way artists approach their music projects, from AI music production tools and mastering services to artwork and design. But perhaps most controversially - AI has also set its sights on songwriting.

AI has become a hot topic in the music industry in recent months, with new examples each week of astonishing AI-generated music, and concerns voiced about the "widespread and lasting harm" of such tools to music creators and rightsholders.

In the UK, the proliferation of such tools comes at a time of increased scrutiny of the role of copyright and the remuneration of music creators and rightsholders, following the DCMS's inquiry into the economics of music streaming.

Under English law, to the extent that AI is used as a tool to generate ideas and themes which are adapted by a musician into a final work, the overall piece is likely to be protected by copyright (although any exclusively AI-developed themes, for example, may not themselves be protected).

If an AI tool copied specific melodies or lyrics, for example, that would likely constitute copyright infringement. However, it may be difficult to identify such specific examples of copying, with well-built AI tools generally designed to copy the general sound and feel of music, in part to avoid allegations of copyright infringement. Despite the potential implications in the US of the 'Blurred Lines' case Williams v. Gaye, 885 F.3d 1150 (9th Cir. 2018), infringement of the feel of a song is unlikely to be sufficient. A new composition that is composed with an AI tool or sung using an AI-generated voice may not incorporate any "substantially similar" element or "substantial part" of any previous work that is actually protected by copyright.

The scope of statutory exceptions from liability from copyright infringement for TDM varies markedly between territories. UK law currently permits "text and data analysis" only for non-commercial research (s. 29A, CDPA). However, in June 2022, the UK IPO announced a proposal to allow TDM for any purpose at all. The proposed exception would have allowed commercial AI tools to be trained on all music without requiring a licence or compensating rightsholders, making the UK one of the most permissive places for AI research in the world. This received significant objection from the music industry, which described it as "music laundering". The UK Government then announced in February 2023 that these proposals were to be scrapped. By comparison, the EU Digital Single Markets Directive provides rightsholders with the ability to opt their works out of the TDM exception, whereas Singapore has recently enacted a very broad TDM exception.

Finding music pieces whose similarity is explainable in plain musical terms can be of considerable value in many applications. We propose a composition grouping method based on musicological approach. The underlying idea is to compare music notation to natural language. In music notation, a musical theme corresponds to a word. The more similar motives we find in two musical pieces, the higher is their overall similarity score. We develop the definition of a motive as well as the way to compare motives and whole compositions. To verify our framework we conduct a number of grouping and classification experiments for typical musical corpora. They include works by classical composers and examples of folk music. Obtained results are encouraging; the method is able to find non-obvious similarities, yet its operation remains explicable on the ground of music history. The proposed approach can be used in music recommendation and anti-plagiarism systems. Due to the musicological flavor, one of potentially best applications of our method would be that in computer assisted music analysis tools. be457b7860

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