VAPolyMk4 vs Hearing Space

VAPolyMk4 is bi-timbral polyphonic synthesizer, which features output morphing, classic ring modulator and global offset parameter control. Each synthesizer consists of three oscillators, resonant low pass and hight pass filter, amplifier, three envelope generators and two LFO. Two synthesizers can be configured as layer or split. VAPolyMk4 operates as a stand alone or as an AudioUnit Extension (AUv3) for iPhone, iPad and Mac. Stand Alone supports Ableton Link, MIDI and audio file export. Built-in Effects include delay, chorus, flanger, reverb, eq and compressor. Project files can be saved in iCloud Drive, so that the project can be accessed from iPhone, iPad or Mac. Main Features Bi-timbral Polyphonic Synthesizer. Output morphing. Classic Ring Modulator. Global Offset Parameter Control. Three oscillators featuring hard sync and through zero FM. Maximum 8 voice polyphony. it depends on performance of the device it is running. Built-in effects and piano roll sequencer. Audio Export. Linear PCM format (AIFF, WAV and CAF) and compressed format (AAC) Support Audio Unit Extension (AUv3). Support MIDI 2.0. Support Foot Pedal and Per Note Control. Support Ableton Link, Bluetooth MIDI, MIDI In / Out. Works on iPhone, iPad and Mac. Support iCloud Drive to share project files between the platforms. Full Factory Preset: 230, Synth CH: 160, Effect: 40 Improvements Support MIDI Foot Pedal (CC#11, CC#64) Support MIDI2.0 Per Note Control Messages MIDI CC Settings are saved. It will be recovered when the app launched in the next time. UI Color can be selected from black, navy or gray. System Requirements iOS 17.0 or later Devices with Apple Silicon are recommended. A13 Fusion or above is highly recommended. if sound is distorted when using a device with less CPU power, reduce number of voices. AudioUnit Extension (AUv3) requires host application which support AudioUnit Extension. AudioUnit Extension is supported by Apple Logic and Apple Garage Band on iOS and macOS. For any other DAW, it depends on the application and some of them don’t support AudioUnit Extension.

Hearing Space-Time is an experimental art application that explores how artificial intelligence perceives space and transforms it into sound. Using machine vision, the app analyzes images to infer spatial depth and structure. These inferred spatial relationships are translated into sound, allowing users to interact with and listen to a non-human model of space. By touching different areas of an image, users activate sonic responses shaped by the machine’s interpretation rather than by visual representation alone. The app treats the mobile device as a perceptual instrument rather than a passive screen. Sound becomes a medium through which machine vision’s internal logic is revealed, inviting reflection on the relationship between human perception, algorithmic interpretation, and spatial understanding. Hearing Space-Time is designed as an artistic and exploratory experience. It does not aim to simulate reality, but to expose how artificial intelligence reconstructs and reorganizes the world through inference. AI-based image analysis using machine vision Interactive sound generation based on inferred spatial depth Touch-based exploration of image-derived sonic space A minimal, contemplative interface designed for artistic engagement