Roadmap

Voice-Controlled Behringer Wing: integrating AI, Python, and Pro Audio

Voice-Controlled Audio Mixing: Capabilities Overview

🎙️ Core Features

  • Mute/Unmute channels with simple voice commands.

  • Solo/Unsolo channels or clear all solos at once.

  • Adjust Faders (volume levels) — set absolute or relative values.

  • Control Input Gain — including gain staging for optimal signal flow.

  • Phantom Power (48V) toggle.

  • Apply/Control Gates (noise thresholds) for each channel.

🔁 Dynamic Channel Control

  • Select single or multiple channels (e.g., “Channel 3” or “Channels 1 through 5”).

  • Named channel recognition (e.g., “Lead Vocal,” “Drums”).

  • Flexible referencing using channel numbers or custom names.

🔄 Natural Language Intelligence

  • Accepts informal or structured language (e.g., “turn up vocals,” “reduce gain on 2 and 3”).

  • Supports relative commands like "increase by 3dB" or "set to -5".

  • Context-aware understanding of commands (toggle, set, adjust, etc.).

🧠 AI Command Interpretation

  • Uses AI-powered parsing for understanding voice commands.

  • Expands future support for learning user preferences or command styles.

🔗 Integration & Control

  • Directly communicates with the Behringer Wing mixer via OSC protocol.

  • Optional Telegram bot integration for remote command input.

  • Real-time control and hardware state reading for feedback and safety.

🎚️ Preset & Gain Staging

  • Load mixer presets or channel-specific scenes via voice.

  • Run multi-channel gain staging automatically.

  • Supports input gain vs. trim differentiation.