Autotone
Autotone is a guitar tone-matching platform that uses machine learning to replicate any desired audio tone. Users upload a reference audio clip, and the system automatically generates a custom digital pedalboard that recreates that sound in real time. The platform lets guitarists play through their newly matched tone immediately, with adjustable parameters for further customization.
- Artificial Intelligence
- Music Technology
- Software Only
Funding
Founders
Product
Problem
Guitarists often struggle to replicate the exact tones of their favorite artists or recordings, as achieving a specific sound typically requires expensive gear, extensive trial and error, or deep technical knowledge of signal processing. This process is time-consuming and often results in frustration when the desired tone remains out of reach.
Solution
Autotone provides a machine-learning-driven platform that automatically recreates any target guitar tone from a simple audio upload. Users submit a reference clip, and the system analyzes it to design a custom digital pedalboard that matches the sound. The user can then plug their guitar into their device via an audio interface and play through this virtual rig in real time. The platform also allows for hands-on tweaking of pedal parameters, enabling users to personalize the replicated tone to their own style.
Target Audience
Autotone targets guitarists of all skill levels, from hobbyists to professional musicians, who want to quickly and easily achieve specific tones without owning extensive physical gear.
Features
- Upload-based tone capture that analyzes any audio clip to identify its sonic characteristics
- Automatic pedalboard generation using machine learning models to match the target tone
- Real-time audio processing with low-latency performance for playable, responsive sound
- Interactive pedal parameters that can be adjusted to modify and personalize the replicated tone
- Device-based operation that works with a standard audio interface and a computer or mobile device