Convert Your Music Library into a Music Production Sample-Library with ML

Polymath is a powerful tool that utilizes machine learning to transform any music library, whether it’s stored on a hard drive or sourced from YouTube, into a comprehensive music production sample-library. By leveraging the capabilities of ML, Polymath automatically separates songs into individual stems such as beats and bass, ensuring that each element is perfectly aligned to the same tempo and beat-grid, typically set at 120bpm. Additionally, it analyzes the musical structure, identifying sections like verses and choruses, as well as the key and other musical attributes like timbre and loudness. The end result is a highly organized and easily searchable sample library that significantly streamlines the workflow for music producers, DJs, and ML audio developers.

Polymath Features

• 🎵 Stem Separation: Automatically separates songs into individual stems like beats and bass.
• 🔀 Tempo and Beat-Grid Alignment: Quantizes stems to the same tempo and beat-grid, typically set at 120bpm.
• 🎶 Musical Structure Analysis: Identifies sections such as verses and choruses for easy navigation.
• 🔑 Key Analysis: Determines the key of each song, allowing for harmonic compatibility.
• 🎛️ Timbre and Loudness Analysis: Analyzes the timbre and loudness of each stem for enhanced sound design.
• 🔍 Searchable Sample Library: Creates a highly organized and searchable sample library for efficient workflow.

Use Cases

• 🎧 Music Production: Music producers can easily access and utilize high-quality stems from their music library, saving time and enhancing creativity.
• 🎚️ DJ Performance: DJs can quickly find and mix stems from different songs, creating unique and seamless transitions during live performances.
• 🧪 ML Audio Development: ML audio developers can leverage the analyzed musical attributes to train models for tasks like genre classification and music recommendation.

Conclusion

With Polymath, converting your music library into a music production sample-library has never been easier. By harnessing the power of machine learning, Polymath automates the process of stem separation, tempo alignment, musical structure analysis, key determination, and timbre/loudness analysis. The result is a highly organized and searchable sample library that empowers music producers, DJs, and ML audio developers to streamline their workflow and unlock new creative possibilities.

FAQ

Q: Can Polymath convert music from YouTube into a sample-library?
A: Yes, Polymath can convert music from various sources, including YouTube, into a comprehensive sample-library.

Q: How does Polymath determine the key of each song?
A: Polymath utilizes advanced algorithms to analyze the musical content and accurately determine the key of each song.

Q: Can I use Polymath for ML audio development?
A: Absolutely! Polymath provides valuable insights into musical attributes that can be utilized by ML audio developers for various tasks, such as genre classification and music recommendation.

See more Music AI tools: https://airepohub.com/category/music