Deploying key word spotting impulse on an arduino Nano esp32. Device keeps rebooting

Help
,
#1

I am trying to deploy the key word spotting impulse on an arduino Nano esp32 board.
I deployed the arduino library and integrated already in two different Environments: arduino ide and in platform io (with platform: arduino)
Compilation and linking succeeds without error.
When running the firmware, the result is, that the board reboots continuously.
Can anyone help or have experience with the arduino Nano esp32 board?

#2

I am still trying to run the “static-Buffer” example on an “arduino nano ESP32” board.
Environment: Platform IO with arduino framework
[env:arduino_nano_esp32] platform = espressif32 board = arduino_nano_esp32 framework = arduino

After building and uploading the firmware. The board starts running, but then disconnects USB, which seems like a reboot. I activated the debug mode with

// invoke the impulse
    EI_IMPULSE_ERROR res = run_classifier(&features_signal, &result, true /* debug */);

and added some extra debug messages as below, to observer, how far the code is working.
It seems that the features are processed

Features (456 ms.): 0.000000 0.000000 0.000000 ........ 0.000000 0.000000 0.000000 0.000000 0.000000
Running impulse...
PAL: Processing [0] of [1]

but after “Running impulse…” the reset seems to occur in

EI_IMPULSE_ERROR res = block.infer_fn(impulse, ....)

Any ideas? I have no idea how to proceed. Thank you !!!

extern "C" EI_IMPULSE_ERROR run_inference(
    ei_impulse_handle_t *handle,
    ei_feature_t *fmatrix,
    ei_impulse_result_t *result,
    bool debug = false)
{
    auto& impulse = handle->impulse;
    for (size_t ix = 0; ix < impulse->learning_blocks_size; ix++) {

        ei_learning_block_t block = impulse->learning_blocks[ix];

        ei_printf("PAL: Processing [%lu] of [%lu]\n", ix,impulse->learning_blocks_size);    // #### gets to this point

#if EI_CLASSIFIER_LOAD_IMAGE_SCALING
        // we do not plan to have multiple dsp blocks with image
        // so just apply scaling to the first one
        EI_IMPULSE_ERROR scale_res = ei_scale_fmatrix(&block, fmatrix[0].matrix);
        if (scale_res != EI_IMPULSE_OK) {
            return scale_res;
        }
#endif

        result->copy_output = block.keep_output;

        EI_IMPULSE_ERROR res = block.infer_fn(impulse, fmatrix, ix, (uint32_t*)block.input_block_ids, block.input_block_ids_size, result, block.config, debug);
        ei_printf("PAL: block.infer_fn RESULT [%i]\n", res);    // #### never gets to this point
        if (res != EI_IMPULSE_OK) {
            return res;
        }