stm32f769

Picovoice STM32F769I-DISCO Demo

This package contains a demo project for the STM32F769 Discovery kit using Picovoice platform.

Supported Languages

1. Arabic
2. Dutch
3. English
4. French
5. German
6. Hindi
7. Italian
8. Japanese
9. Korean
10. Mandarin
11. Polish
12. Portuguese
13. Russian
14. Spanish
15. Swedish
16. Vietnamese

• Support for additional languages is available for commercial customers on a case-by-case basis.

Installation

For this demo, you need to:

1. Download and install STM32CubeIDE, which is an all-in-one multi-OS development tool for STM32 microcontrollers.
2. Install a serial port monitor on your system to be able to communicate with the board. Arduino environment's built-in serial monitor and Coolterm are two free options available on all platforms (Windows, Linux, and macOS).

AccessKey

Picovoice requires a valid Picovoice AccessKey at initialization. AccessKey acts as your credentials when using Picovoice SDKs. You can get your AccessKey for free. Make sure to keep your AccessKey secret. Signup or Login to Picovoice Console to get your AccessKey.

Usage

In the demo project, there is a separate build configuration for each supported languages. In order to activate a specific configuration:

1. Click Project > Build Configuration > Set Active
2. Select the target configuration

Then, to compile and run the demo project on a STM32F769 discovery board, perform the following steps:

1. Open STM32CubeIDE
2. Click File > Open Projects from file system... to display the Import Projects dialog box. Select the stm32f769i-disco folder from this repository, and then press the Finish button.
3. Replace ACCESS_KEY in main.c with your AccessKey obtained from Picovoice Console
4. Click Project > Build Project
5. Connect the board to the computer and press Run > Run

In this demo, you can determine the default wake word and context models for each language by checking the pv_params.h. Find the language section surrounded by:

#if defined(__PV_LANGUAGE_{LANGUAGE_NAME}__)
...
#endif

The default wake word for each language can be found next to the // wake-word comment, and the default context is located beside the // context comment.

When the demo begins, the context information will be displayed on the console.

Create Custom Models

1. Copy the UUID of the board printed at the beginning of the session to the serial port monitor.
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 STM32 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. Both zip archives also contain a .h header file containing the C array version of the binary model.
3. Copy the contents of the arrays inside the .h header files and update the keyword_array and context_array values in /stm32f769i-disco/Inc/pv_params.h in the language section for which the model is trained.