mirror of
https://github.com/78/xiaozhi-esp32.git
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f418c16b2c
* detect wake word model from index.json * update wait time before entering wifi configure mode
251 lines
9.0 KiB
C++
251 lines
9.0 KiB
C++
#include "custom_wake_word.h"
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#include "audio_service.h"
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#include "system_info.h"
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#include "assets.h"
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#include <esp_log.h>
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#include <esp_mn_iface.h>
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#include <esp_mn_models.h>
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#include <esp_mn_speech_commands.h>
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#include <cJSON.h>
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#define TAG "CustomWakeWord"
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CustomWakeWord::CustomWakeWord()
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: wake_word_pcm_(), wake_word_opus_() {
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}
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CustomWakeWord::~CustomWakeWord() {
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if (multinet_model_data_ != nullptr && multinet_ != nullptr) {
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multinet_->destroy(multinet_model_data_);
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multinet_model_data_ = nullptr;
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}
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if (wake_word_encode_task_stack_ != nullptr) {
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heap_caps_free(wake_word_encode_task_stack_);
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}
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if (wake_word_encode_task_buffer_ != nullptr) {
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heap_caps_free(wake_word_encode_task_buffer_);
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}
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if (models_ != nullptr) {
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esp_srmodel_deinit(models_);
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}
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}
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void CustomWakeWord::ParseWakenetModelConfig() {
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// Read index.json
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auto& assets = Assets::GetInstance();
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void* ptr = nullptr;
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size_t size = 0;
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if (!assets.GetAssetData("index.json", ptr, size)) {
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ESP_LOGE(TAG, "Failed to read index.json");
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return;
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}
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cJSON* root = cJSON_ParseWithLength(static_cast<char*>(ptr), size);
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if (root == nullptr) {
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ESP_LOGE(TAG, "Failed to parse index.json");
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return;
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}
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cJSON* multinet_model = cJSON_GetObjectItem(root, "multinet_model");
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if (cJSON_IsObject(multinet_model)) {
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cJSON* language = cJSON_GetObjectItem(multinet_model, "language");
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cJSON* duration = cJSON_GetObjectItem(multinet_model, "duration");
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cJSON* threshold = cJSON_GetObjectItem(multinet_model, "threshold");
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cJSON* commands = cJSON_GetObjectItem(multinet_model, "commands");
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if (cJSON_IsString(language)) {
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language_ = language->valuestring;
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}
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if (cJSON_IsNumber(duration)) {
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duration_ = duration->valueint;
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}
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if (cJSON_IsNumber(threshold)) {
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threshold_ = threshold->valuedouble;
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}
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if (cJSON_IsArray(commands)) {
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for (int i = 0; i < cJSON_GetArraySize(commands); i++) {
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cJSON* command = cJSON_GetArrayItem(commands, i);
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if (cJSON_IsObject(command)) {
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cJSON* command_name = cJSON_GetObjectItem(command, "command");
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cJSON* text = cJSON_GetObjectItem(command, "text");
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cJSON* action = cJSON_GetObjectItem(command, "action");
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if (cJSON_IsString(command_name) && cJSON_IsString(text) && cJSON_IsString(action)) {
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commands_.push_back({command_name->valuestring, text->valuestring, action->valuestring});
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ESP_LOGI(TAG, "Command: %s, Text: %s, Action: %s", command_name->valuestring, text->valuestring, action->valuestring);
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}
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}
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}
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}
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}
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cJSON_Delete(root);
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}
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bool CustomWakeWord::Initialize(AudioCodec* codec, srmodel_list_t* models_list) {
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codec_ = codec;
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commands_.clear();
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if (models_list == nullptr) {
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language_ = "cn";
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models_ = esp_srmodel_init("model");
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#if CONFIG_CUSTOM_WAKE_WORD
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threshold_ = CONFIG_CUSTOM_WAKE_WORD_THRESHOLD / 100.0f;
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commands_.push_back({CONFIG_CUSTOM_WAKE_WORD, CONFIG_CUSTOM_WAKE_WORD_DISPLAY, "wake"});
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#endif
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} else {
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models_ = models_list;
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ParseWakenetModelConfig();
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}
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if (models_ == nullptr || models_->num == -1) {
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ESP_LOGE(TAG, "Failed to initialize wakenet model");
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return false;
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}
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// 初始化 multinet (命令词识别)
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mn_name_ = esp_srmodel_filter(models_, ESP_MN_PREFIX, language_.c_str());
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if (mn_name_ == nullptr) {
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ESP_LOGE(TAG, "Failed to initialize multinet, mn_name is nullptr");
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ESP_LOGI(TAG, "Please refer to https://pcn7cs20v8cr.feishu.cn/wiki/CpQjwQsCJiQSWSkYEvrcxcbVnwh to add custom wake word");
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return false;
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}
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multinet_ = esp_mn_handle_from_name(mn_name_);
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multinet_model_data_ = multinet_->create(mn_name_, duration_);
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multinet_->set_det_threshold(multinet_model_data_, threshold_);
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esp_mn_commands_clear();
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for (int i = 0; i < commands_.size(); i++) {
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esp_mn_commands_add(i + 1, commands_[i].command.c_str());
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}
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esp_mn_commands_update();
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multinet_->print_active_speech_commands(multinet_model_data_);
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return true;
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}
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void CustomWakeWord::OnWakeWordDetected(std::function<void(const std::string& wake_word)> callback) {
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wake_word_detected_callback_ = callback;
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}
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void CustomWakeWord::Start() {
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running_ = true;
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}
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void CustomWakeWord::Stop() {
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running_ = false;
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}
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void CustomWakeWord::Feed(const std::vector<int16_t>& data) {
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if (multinet_model_data_ == nullptr || !running_) {
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return;
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}
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esp_mn_state_t mn_state;
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// If input channels is 2, we need to fetch the left channel data
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if (codec_->input_channels() == 2) {
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auto mono_data = std::vector<int16_t>(data.size() / 2);
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for (size_t i = 0, j = 0; i < mono_data.size(); ++i, j += 2) {
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mono_data[i] = data[j];
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}
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StoreWakeWordData(mono_data);
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mn_state = multinet_->detect(multinet_model_data_, const_cast<int16_t*>(mono_data.data()));
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} else {
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StoreWakeWordData(data);
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mn_state = multinet_->detect(multinet_model_data_, const_cast<int16_t*>(data.data()));
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}
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if (mn_state == ESP_MN_STATE_DETECTING) {
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return;
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} else if (mn_state == ESP_MN_STATE_DETECTED) {
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esp_mn_results_t *mn_result = multinet_->get_results(multinet_model_data_);
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for (int i = 0; i < mn_result->num && running_; i++) {
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ESP_LOGI(TAG, "Custom wake word detected: command_id=%d, string=%s, prob=%f",
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mn_result->command_id[i], mn_result->string, mn_result->prob[i]);
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auto& command = commands_[mn_result->command_id[i] - 1];
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if (command.action == "wake") {
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last_detected_wake_word_ = command.text;
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running_ = false;
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if (wake_word_detected_callback_) {
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wake_word_detected_callback_(last_detected_wake_word_);
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}
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}
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}
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multinet_->clean(multinet_model_data_);
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} else if (mn_state == ESP_MN_STATE_TIMEOUT) {
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ESP_LOGD(TAG, "Command word detection timeout, cleaning state");
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multinet_->clean(multinet_model_data_);
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}
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}
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size_t CustomWakeWord::GetFeedSize() {
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if (multinet_model_data_ == nullptr) {
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return 0;
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}
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return multinet_->get_samp_chunksize(multinet_model_data_);
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}
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void CustomWakeWord::StoreWakeWordData(const std::vector<int16_t>& data) {
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// store audio data to wake_word_pcm_
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wake_word_pcm_.push_back(data);
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// keep about 2 seconds of data, detect duration is 30ms (sample_rate == 16000, chunksize == 512)
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while (wake_word_pcm_.size() > 2000 / 30) {
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wake_word_pcm_.pop_front();
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}
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}
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void CustomWakeWord::EncodeWakeWordData() {
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const size_t stack_size = 4096 * 7;
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wake_word_opus_.clear();
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if (wake_word_encode_task_stack_ == nullptr) {
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wake_word_encode_task_stack_ = (StackType_t*)heap_caps_malloc(stack_size, MALLOC_CAP_SPIRAM);
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assert(wake_word_encode_task_stack_ != nullptr);
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}
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if (wake_word_encode_task_buffer_ == nullptr) {
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wake_word_encode_task_buffer_ = (StaticTask_t*)heap_caps_malloc(sizeof(StaticTask_t), MALLOC_CAP_INTERNAL);
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assert(wake_word_encode_task_buffer_ != nullptr);
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}
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wake_word_encode_task_ = xTaskCreateStatic([](void* arg) {
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auto this_ = (CustomWakeWord*)arg;
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{
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auto start_time = esp_timer_get_time();
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auto encoder = std::make_unique<OpusEncoderWrapper>(16000, 1, OPUS_FRAME_DURATION_MS);
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encoder->SetComplexity(0); // 0 is the fastest
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int packets = 0;
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for (auto& pcm: this_->wake_word_pcm_) {
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encoder->Encode(std::move(pcm), [this_](std::vector<uint8_t>&& opus) {
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std::lock_guard<std::mutex> lock(this_->wake_word_mutex_);
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this_->wake_word_opus_.emplace_back(std::move(opus));
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this_->wake_word_cv_.notify_all();
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});
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packets++;
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}
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this_->wake_word_pcm_.clear();
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auto end_time = esp_timer_get_time();
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ESP_LOGI(TAG, "Encode wake word opus %d packets in %ld ms", packets, (long)((end_time - start_time) / 1000));
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std::lock_guard<std::mutex> lock(this_->wake_word_mutex_);
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this_->wake_word_opus_.push_back(std::vector<uint8_t>());
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this_->wake_word_cv_.notify_all();
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}
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vTaskDelete(NULL);
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}, "encode_wake_word", stack_size, this, 2, wake_word_encode_task_stack_, wake_word_encode_task_buffer_);
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}
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bool CustomWakeWord::GetWakeWordOpus(std::vector<uint8_t>& opus) {
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std::unique_lock<std::mutex> lock(wake_word_mutex_);
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wake_word_cv_.wait(lock, [this]() {
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return !wake_word_opus_.empty();
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});
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opus.swap(wake_word_opus_.front());
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wake_word_opus_.pop_front();
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return !opus.empty();
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}
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