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awesome-ai-music's Introduction

Awesome AI Music Awesome

A curated list of awesome AI tools for music composition, generation, enhancement, and more.

Contents

Music Composition and Generation

  • AIVA - AI music composition software that creates music for various purposes.
  • Amper Music - AI-driven music composition tool for creating custom soundtracks.
  • Jukedeck - AI-powered platform for generating royalty-free music (now part of TikTok).
  • OpenAI MuseNet - AI model for generating 4-minute musical compositions with 10 different instruments.
  • Boomy - Create original songs in seconds, powered by AI.

Music Enhancement and Mastering

  • LANDR - AI-based mastering service for enhancing audio tracks.
  • eMastered - Automated online mastering service using AI.
  • Izotope Ozone - AI-powered mastering suite for professional audio enhancement.

Music Transcription and Analysis

  • AnthemScore - AI software for automatic music transcription from audio files to sheet music.
  • Spleeter - Deezer's source separation library to isolate vocals and instruments from music tracks.
  • Melodyne - Advanced music editing software with capabilities for pitch correction and timing adjustments.

Voice Synthesis and Cloning

  • Replica Studios - AI voice actors for video games, films, and other media.
  • Lyrebird - AI tool for creating realistic synthetic voices.
  • Descript Overdub - Voice cloning and synthesis tool for creating lifelike audio.

Music Education and Practice

  • Yousician - AI-powered music education app for learning various instruments.
  • Simply Piano - AI-driven app for learning piano.
  • SmartMusic - Music practice software with AI assessments and feedback.

Learning Resources

Communities and Blogs

  • r/MusicTechnology - Reddit community for discussions on music technology, including AI tools.
  • MusicTech - Online magazine covering the latest in music technology and production.
  • AI Music Creator Blog - Blog covering AI music tools and trends.
  • Towards Data Science - Medium publication with articles on AI, data science, and music technology.

Contributing

Contributions are welcome! Please read the contribution guidelines first.

License

MIT

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Contributors

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