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Picovoice IMXRT1050-EVKB Demo

This package contains a demo project for the i.MX RT1050 Evaluation Kit using Picovoice platform.

Installation

For this demo, you need to download and install MCUXpresso IDE, which is an all-in-one multi-OS development tool for NXP MCUs based on Arm Cortex-M cores.

Usage

In order to compile and run the demo project on a i.MX RT1050 Evaluation board, perform the following steps:

  1. Open MCUXpresso IDE
  2. From the main toolbar, select Install MCUXpresso SDKs and install evkbimxrt1050 SDK
  3. Click File > Open Projects from file system... to display the Import Projects dialog box. Select the imxrt1050-evkb folder from this repository, and then press the Finish button.
  4. Click Project > Build All
  5. Connect the board to the computer, select the imported project inside Project Explorer window
  6. Click Run > Debug as > MCUXpresso IDE LinkServer probes and then select the connected board.
  7. In the debug view, press Run > Resume

For this demo, the default wake word is Picovoice and the context is Smart Lighting. The engine can recognize commands such as

Picovoice, turn off the lights.

or

Picovoice, set the lights in the bedroom to blue.

Picovoice's output can be seen on the IDE console.

See below for the full context:

context:
  expressions:
    changeColor:
      - "[turn, make] (all, the) lights $color:color"
      - "[change, set, switch] (all, the) lights to $color:color"
      - "[turn, make] (the) $location:location (color, light, lights) $color:color"
      - "[change, set, switch] (the) $location:location (color, light, lights) to $color:color"
      - "[turn, make] (the) [color, light, lights] [at, in] (the) $location:location $color:color"
      - "[change, set, switch] (the) [color, light, lights] [at, in] (the) $location:location to $color:color"
      - "[turn, make] (the) [color, light, lights] $color:color [at, in] (the) $location:location"
      - "[change, set, switch] (the) [color, light, lights] to $color:color [at, in] (the) $location:location"
    changeLightState:
      - "[switch, turn] $state:state (all, the) lights"
      - "[switch, turn] (all, the) lights $state:state"
      - "[switch, turn] $state:state (the) $location:location (light, lights)"
      - "[switch, turn] (the) $location:location [light, lights] $state:state"
      - "[switch, turn] $state:state (the) [light, lights] [at, in] (the) $location:location"
      - "[switch, turn] (the) [light, lights] [in, at] the $location:location $state:state"
    changeLightStateOff:
      - "shut off (all, the) lights"
      - "shut (all, the) lights off"
      - "shut off (the) $location:location (light, lights)"
      - "shut (the) $location:location (light, lights) off"
      - "shut off (the) [light, lights] [at, in] (the) $location:location"
      - "shut (the) [light, lights] off [at, in] (the) $location:location"
      - "shut (the) [light, lights] [at, in] (the) $location:location off"
  slots:
    color:
      - "blue"
      - "green"
      - "orange"
      - "pink"
      - "purple"
      - "red"
      - "white"
      - "yellow"
    state:
      - "off"
      - "on"
    location:
      - "bathroom"
      - "bedroom"
      - "closet"
      - "hallway"
      - "kitchen"
      - "living room"
      - "pantry"

Create Custom Models

  1. Copy the UUID of the board printed at the beginning of the session to the IDE console.
  2. Go to Picovoice Console to create models for Porcupine wake word engine and Rhino Speech-to-Intent engine.
  3. Select Arm Cortex-M as the platform when training the model.
  4. Select IMXRT as the board type and provide the UUID of the chipset on the board.

The model is now being trained. You will be able to download it within a few hours.

Import the Custom Models

  1. Download your custom voice model(s) from Picovoice Console.
  2. Decompress the zip file. The model file is either .ppn for Porcupine wake word or .rhn for Rhino Speech-to-Intent.
  3. Use binary_to_c_array.py to convert your binary models to C array format utilizing the following command: python3 binary_to_c_array.py input_binary_model output_c_array.txt
  4. Copy the content of output_c_array.txt and update the keyword_array and context_array values in imxrt1050-evkb/inc/pv_params.h.