arduinoPorcupine Wake Word Engine - Arduino Quick Start



Picovoice Account & AccessKey

  1. Login or signup for a free account on the Picovoice Console.
  2. Go to the AccessKey tab to create one or use an existing AccessKey. Be sure to keep your AccessKey secret.

Quick Start


  1. Install and select desired board from Tools -> Board.
    • Install Arduino Mbed OS Nano Boards for Arduino Nano 33 BLE Sense.
    • Install Arduino Mbed OS Portenta Boards for Arduino Portenta H7 (M7 core).
  2. Select the desired device Serial Port to upload package via Tools -> Port.
  3. Open the Library Manager in the Arduino IDE.
  4. Search for the Porcupine_EN package, and click on the Install button.


Initialize audio and construct the porcupine object in the setup function:

#include <Porcupine_EN.h>
static const char* ACCESS_KEY = "${ACCESS_KEY}";
uint8_t memory_buffer[MEMORY_BUFFER_SIZE] __attribute__((aligned(16)));
const uint8_t keyword_array[] = ${KEYWORD_ARRAY};
const int32_t keyword_model_sizes = sizeof(${KEYWORD_ARRAY});
const void *keyword_models = keyword_array;
const float sensitivity = 0.5f;
pv_porcupine_t *porcupine = NULL;
void setup() {
pv_status_t status = pv_audio_init_rec();
if (status != PV_STATUS_SUCCESS) {
// error starting audio
status = pv_porcupine_init(
if (status != PV_STATUS_SUCCESS) {
// error handling logic

Get the audio frames and pass them in to pv_porcupine_process in the loop function:

void loop() {
const int16_t *buffer = pv_audio_rec_get_new_buffer();
if (buffer) {
int32_t keyword_index;
const pv_status_t status = pv_porcupine_process(porcupine, buffer, &keyword_index);
if (status != PV_STATUS_SUCCESS) {
// handle error logic
if (keyword_index != -1) {
// keyword detected

Release resources explicitly when done with Picovoice:


Create Custom Keywords

  1. Obtain the UUID of the chipset:
    1. Open File -> Examples -> Porcupine_EN -> GetUUID.
    2. Click Upload and check the Serial Monitor for the UUID of the board:
UUID: xx xx xx xx xx xx xx xx
  1. Go to Picovoice Console to create models for Porcupine Wake Word engine.
  2. Select Arm Cortex-M as the platform when training the model.
  3. Select appropriate board type and paste in your board UUID.
  4. Train your models.
  5. Download your custom keyword model.
  6. Decompress the zip file. The .ppn file inside is the binary model for the Porcupine wake word. The zip archive also contains a .h header file containing the C array version of the binary model.
  7. Copy the contents of the arrays inside the .h header files and update the keyword_array:
const uint8_t keyword_array[] = ${CUSTOM_KEYWORD_ARRAY};

Non-English Languages

Open the Library Manager in the Arduino IDE and search for Porcupine. Click Install on the language desired and add the header file to the project:

#include <Porcupine_{$LANGUAGE_CODE}>


For the Porcupine Arduino SDK, we offer demo projects for several evaluation boards to demonstrate how to use the Porcupine Wake word engine on Arduino.


  1. Open the Library Manager in the Arduino IDE.
  2. Search for the Porcupine_EN package, and click on the Install button.


  1. Open File -> Examples -> Porcupine_EN -> PorcupineExcample.
  2. Replace ACCESS_KEY with the AccessKey obtained from picovoice console.
  3. Press Upload and check Serial Monitor for outputs.





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