Recovery Larking - 4-Voice Ambient Drone Synth - Copper
A four-voice ambient drone synthesizer designed for harmonic exploration, layered textures, and hands-on performance. The Recovery Larking combines quantized pitch control, a morphing tonal engine, and built-in spatial effects in a compact desktop format, making it ideal for ambient composition, experimental sound design, and pedalboard-based workflows.
Key Features
- 4-Voice Polyphonic Synthesis: Independent voices with dedicated pitch controls for evolving drones, chords, and melodic textures.
- Quantized Harmonic Control: Selectable key and eight musical modes keep performances musically coherent while encouraging exploratory playing.
- Morphing Tone Engine: Shape control blends from warm sine-like textures to harmonically saturated tones with analog-style grit and rich overtones.
- Dynamic Envelope Controls: Adjustable attack and decay settings allow everything from rhythmic plucks to slow, swelling ambient pads.
- Global LFO Modulation: Modulate pitch across all voices, ranging from subtle analog-style drift to unstable experimental textures.
- Built-In Reverb: Adds expansive atmospheric space and ambient wash directly from the instrument.
- Multiple Control Methods: Play via onboard controls, MIDI, or CV/Gate for integration with pedalboards, modular systems, and sequencers.
- Deep Low-End Response: Voiced for resonant bass presence and harmonically rich drone textures.
- Compact Desktop Format: Pedalboard-friendly enclosure suitable for studio and live setups.
- Hand-Assembled in Seattle: Designed and assembled in the USA.
What’s Included
- Recovery Larking Ambient Drone Synth – Copper
- Quick Start Documentation
- One-Year Limited Warranty (registration required)
The Larking is a distinctive instrument for musicians seeking immersive drone textures, harmonic experimentation, and performance-oriented sound design. Its scale-locked architecture removes traditional keyboard limitations, creating an intuitive environment for ambient, cinematic, experimental, and generative music workflows.
