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Interactive sound
- inputs in microcontrollers for preprocessing interface to PC for further processing.
- it’s also possible to have microcontroller standalone applications
website
github organisation
Debug workflow
- it’s possible to debug an embedded sound processing system by injecting packets and retrieving the results
Topics
Offline Preparation
The Offline preparation is a necessary step to understand the signal and condition it for the target application where it will be used, that’s where Python with its scientific toolkits and machine learning environment will be used.
- Signal Analysis
- Machine Learning
Real Time Processing
Smart applications are ones that instantly react to the user in an interactive, collaborative or assistive mode such as during tracking. Therefore an instant response of the system is what creates a feeling of connection with the instrument.
Real time Audio processing requires dedicated hardware acceleration to prevent delays.
Capture
It’s about capture of audio and other user inputs. Audio goes through I2S microphone arrays connected to microcontrollers. Other user inputs can be accelerometer or touch interfaces that are to be used as control for sound generation
- Microphones
- Accelerometers
- smart touch surface
- USB interfaces (Audio / HID / Serial Data)
Display
The output should not only be hearable as a sound signal but also visual in order to assist the interaction.
webapp view of live audio signal Status feedback through LEDs
Microcontrollers
- STM32 based on ARM-M4 with USB connections and other I2S peripherals
- Black pill : STM32F411 (USB)
- Audio Discovery : STM32F407 (USB, stereo out)
- DevEBox : STM32F407 (USB, SDCARD)
- ESP32 (wifi / BT)
- nRF52 (custom RF / BT)