Remove timbre from audio files
Separate music tracks from audio
Generate music from text prompts
Compose a song using a predefined chord progression
Create custom music tracks from text or melodies
In-browser text-to-music w/ Transformers.js!
Browse and view music album and track details
In-browser text-to-music w/ Transformers.js!
Search music using keywords
Music Genre Classifier
Generate music based on text descriptions
unlimited Audio generation with a few added features
Stream and organize your music library
Timbre Trap is an AI-powered music generation tool designed to remove timbre from audio files. It allows users to isolate specific aspects of a sound, such as tone and texture, making it a valuable resource for music producers, audio engineers, and content creators. The tool provides a user-friendly web interface for easy audio processing and customization.
• Timbre Removal: Effectively strips away timbre from audio files, leaving behind a clean, neutral sound.
• Frequency Isolation: Allows users to target and isolate specific frequency ranges for precise audio manipulation.
• Sound Texture Adjustment: Enables the customization of sound textures to create unique audio outputs.
• Tone Extraction: Extracts and preserves the fundamental tone of a sound while removing unwanted timbre.
• Batch Processing: Supports processing multiple audio files simultaneously for efficient workflow management.
What is timbre, and why might I want to remove it?
Timbre is the unique "tone color" or "sound quality" that distinguishes one voice or instrument from another. Removing timbre allows you to isolate the raw tone or texture of a sound, which can be useful for creative remixing or audio engineering.
What audio formats does Timbre Trap support?
Timbre Trap supports popular audio formats such as WAV, MP3, and AIFF. For specific compatibility, refer to the tool's documentation.
How long does it take to process an audio file?
Processing time depends on the file size and complexity of the settings. Small files typically process quickly, while larger files may take a few minutes.