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Pirate Collate List Of Top 10 AI tools used by musicians revealed

In a groundbreaking shift for the music industry, artificial intelligence (AI) is now a pivotal collaborator for artists, according to a recent survey of over 1,000 musicians. The survey revealed that 25% of musicians are integrating AI into their studio work, with an impressive 72% reporting positive experiences. Here's a breakdown of the top 10 AI tools for musicians, handpicked by the artists themselves:

1. ChatGPT

Best For: Songwriting and composition

ChatGPT stands out as a versatile tool for various aspects of music creation, from generating melodic lyrics to suggesting chord variations and providing technical solutions.

2. OZONE11

Best For: Mastering music iZotope Ozone 11 simplifies the traditionally complex and costly mastering process with its AI tracking, offering a one-click solution that exceeds expectations.

Best For: Separating stems for remixing and sampling. LALAL.AI excels in stem-splitting, allowing artists to isolate specific elements from their own productions or extract stems from other tracks for sampling and remixing.


Best For: Inspiration, support for beginners, writers' block. SongStarter serves as a music-making game that provides a starting point for musicians based on genre, lyrics, or emojis, making it perfect for beginners.


Best For: Audio segmentation and manipulation

GOYO's powerful voice separator aids in de-noising, de-reverbing, and de-voicing audio, enhancing the quality of imperfect recordings and facilitating remixes.


Best For: Composition

AIVA, the "Artificial Intelligence Virtual Artist," composes original music tracks based on user preferences, providing an inspiration boost for overcoming creative blocks.


Best For: Melody composition and exploration. AWS DeepComposer allows users to play a melody and transform it into a composition using generative AI, acting as a collaborative tool in the studio.


Best For: Isolating vocals and instruments in any song. Moises App excels in isolating vocals and instruments with impressive accuracy, providing a valuable toolkit for creative manipulation.


Best For: Experimental music composition and artistic exploration. Magenta, an open-source project by Google, explores machine learning's potential in creative arts, allowing artists to experiment with unique compositions and performances.


Best For: Separating vocal and instrumental stems with a single click. StemRoller efficiently separates vocal and instrumental stems with a single click, offering a free and accessible solution for experimentation.

As the music industry embraces AI, these tools empower musicians at various stages of music creation, from songwriting and composition to mastering and stem manipulation.

Full report is by PIRATE HERE


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