Files
2026-02-12 21:00:02 -08:00

55 lines
1.4 KiB
C++

#include "AudioTools.h"
#include "AudioTools/AudioLibs/AudioBoardStream.h"
#include "AudioTools/AudioLibs/TfLiteAudioStream.h"
#include "model.h" // tensorflow model
AudioBoardStream kit(AudioKitEs8388V1); // Audio source
TfLiteAudioStream tfl; // Audio sink
const char* kCategoryLabels[4] = {
"silence",
"unknown",
"yes",
"no",
};
StreamCopy copier(tfl, kit); // copy mic to tfl
int channels = 1;
int samples_per_second = 16000;
void respondToCommand(const char* found_command, uint8_t score,
bool is_new_command) {
if (is_new_command) {
char buffer[80];
sprintf(buffer, "Result: %s, score: %d, is_new: %s", found_command, score,
is_new_command ? "true" : "false");
Serial.println(buffer);
}
}
void setup() {
Serial.begin(115200);
AudioToolsLogger.begin(Serial, AudioToolsLogLevel::Warning);
// setup Audiokit
auto cfg = kit.defaultConfig(RX_MODE);
cfg.input_device = ADC_INPUT_LINE2;
cfg.channels = channels;
cfg.sample_rate = samples_per_second;
cfg.use_apll = false;
//cfg.auto_clear = true;
cfg.buffer_size = 512;
cfg.buffer_count = 16;
kit.begin(cfg);
// Setup tensorflow
auto tcfg = tfl.defaultConfig();
tcfg.setCategories(kCategoryLabels);
tcfg.channels = channels;
tcfg.sample_rate = samples_per_second;
tcfg.kTensorArenaSize = 10 * 1024;
tcfg.respondToCommand = respondToCommand;
tcfg.model = g_model;
tfl.begin(tcfg);
}
void loop() { copier.copy(); }