#include "custom_wake_word.h" #include "application.h" #include #include #include #include "esp_wn_iface.h" #include "esp_wn_models.h" #include "esp_afe_sr_iface.h" #include "esp_afe_sr_models.h" #include "esp_mn_iface.h" #include "esp_mn_models.h" #include "esp_mn_speech_commands.h" #include #define DETECTION_RUNNING_EVENT 1 #define TAG "CustomWakeWord" CustomWakeWord::CustomWakeWord() : afe_data_(nullptr), wake_word_pcm_(), wake_word_opus_() { event_group_ = xEventGroupCreate(); } CustomWakeWord::~CustomWakeWord() { if (afe_data_ != nullptr) { afe_iface_->destroy(afe_data_); } // 清理 multinet 资源 if (multinet_model_data_ != nullptr && multinet_ != nullptr) { multinet_->destroy(multinet_model_data_); multinet_model_data_ = nullptr; } if (wake_word_encode_task_stack_ != nullptr) { heap_caps_free(wake_word_encode_task_stack_); } vEventGroupDelete(event_group_); } bool CustomWakeWord::Initialize(AudioCodec* codec) { codec_ = codec; models = esp_srmodel_init("model"); if (models == nullptr || models->num == -1) { ESP_LOGE(TAG, "Failed to initialize wakenet model"); return false; } // 初始化 multinet (命令词识别) mn_name_ = esp_srmodel_filter(models, ESP_MN_PREFIX, ESP_MN_CHINESE); if (mn_name_ == nullptr) { ESP_LOGE(TAG, "Failed to initialize multinet, mn_name is nullptr"); ESP_LOGI(TAG, "Please refer to https://pcn7cs20v8cr.feishu.cn/wiki/CpQjwQsCJiQSWSkYEvrcxcbVnwh to add custom wake word"); return false; } ESP_LOGI(TAG, "multinet:%s", mn_name_); multinet_ = esp_mn_handle_from_name(mn_name_); multinet_model_data_ = multinet_->create(mn_name_, 2000); // 2秒超时 multinet_->set_det_threshold(multinet_model_data_, 0.5); esp_mn_commands_clear(); esp_mn_commands_add(1, CONFIG_CUSTOM_WAKE_WORD); // 添加自定义唤醒词作为命令词 esp_mn_commands_update(); // 打印所有的命令词 multinet_->print_active_speech_commands(multinet_model_data_); ESP_LOGI(TAG, "Custom wake word: %s", CONFIG_CUSTOM_WAKE_WORD); // 初始化 afe int ref_num = codec_->input_reference() ? 1 : 0; std::string input_format; for (int i = 0; i < codec_->input_channels() - ref_num; i++) { input_format.push_back('M'); } for (int i = 0; i < ref_num; i++) { input_format.push_back('R'); } afe_config_t* afe_config = afe_config_init(input_format.c_str(), models, AFE_TYPE_SR, AFE_MODE_HIGH_PERF); afe_config->aec_init = codec_->input_reference(); afe_config->aec_mode = AEC_MODE_SR_HIGH_PERF; afe_config->afe_perferred_core = 1; afe_config->afe_perferred_priority = 1; afe_config->memory_alloc_mode = AFE_MEMORY_ALLOC_MORE_PSRAM; afe_iface_ = esp_afe_handle_from_config(afe_config); afe_data_ = afe_iface_->create_from_config(afe_config); xTaskCreate([](void* arg) { auto this_ = (CustomWakeWord*)arg; this_->AudioDetectionTask(); vTaskDelete(NULL); }, "audio_detection", 16384, this, 3, nullptr); return true; } void CustomWakeWord::OnWakeWordDetected(std::function callback) { wake_word_detected_callback_ = callback; } void CustomWakeWord::Start() { xEventGroupSetBits(event_group_, DETECTION_RUNNING_EVENT); } void CustomWakeWord::Stop() { xEventGroupClearBits(event_group_, DETECTION_RUNNING_EVENT); if (afe_data_ != nullptr) { afe_iface_->reset_buffer(afe_data_); } } void CustomWakeWord::Feed(const std::vector& data) { if (afe_data_ == nullptr) { return; } afe_iface_->feed(afe_data_, data.data()); } size_t CustomWakeWord::GetFeedSize() { if (afe_data_ == nullptr) { return 0; } return afe_iface_->get_feed_chunksize(afe_data_) * codec_->input_channels(); } void CustomWakeWord::AudioDetectionTask() { auto fetch_size = afe_iface_->get_fetch_chunksize(afe_data_); auto feed_size = afe_iface_->get_feed_chunksize(afe_data_); // 检查 multinet 是否已正确初始化 if (multinet_ == nullptr || multinet_model_data_ == nullptr) { ESP_LOGE(TAG, "Multinet not initialized properly"); return; } int mu_chunksize = multinet_->get_samp_chunksize(multinet_model_data_); assert(mu_chunksize == feed_size); ESP_LOGI(TAG, "Audio detection task started, feed size: %d fetch size: %d", feed_size, fetch_size); // 禁用wakenet,直接使用multinet检测自定义唤醒词 afe_iface_->disable_wakenet(afe_data_); while (true) { xEventGroupWaitBits(event_group_, DETECTION_RUNNING_EVENT, pdFALSE, pdTRUE, portMAX_DELAY); auto res = afe_iface_->fetch_with_delay(afe_data_, portMAX_DELAY); if (res == nullptr || res->ret_value == ESP_FAIL) { ESP_LOGW(TAG, "Fetch failed, continue"); continue; } // 存储音频数据用于语音识别 StoreWakeWordData(res->data, res->data_size / sizeof(int16_t)); // 直接使用multinet检测自定义唤醒词 esp_mn_state_t mn_state = multinet_->detect(multinet_model_data_, res->data); if (mn_state == ESP_MN_STATE_DETECTING) { // 仍在检测中,继续 continue; } else if (mn_state == ESP_MN_STATE_DETECTED) { // 检测到自定义唤醒词 esp_mn_results_t *mn_result = multinet_->get_results(multinet_model_data_); ESP_LOGI(TAG, "Custom wake word detected: command_id=%d, string=%s, prob=%f", mn_result->command_id[0], mn_result->string, mn_result->prob[0]); if (mn_result->command_id[0] == 1) { // 自定义唤醒词 ESP_LOGI(TAG, "Custom wake word '%s' detected successfully!", CONFIG_CUSTOM_WAKE_WORD); // 停止检测 Stop(); last_detected_wake_word_ = CONFIG_CUSTOM_WAKE_WORD_DISPLAY; // 调用回调 if (wake_word_detected_callback_) { wake_word_detected_callback_(last_detected_wake_word_); } // 清理multinet状态,准备下次检测 multinet_->clean(multinet_model_data_); ESP_LOGI(TAG, "Ready for next detection"); } } else if (mn_state == ESP_MN_STATE_TIMEOUT) { // 超时,清理状态继续检测 ESP_LOGD(TAG, "Command word detection timeout, cleaning state"); multinet_->clean(multinet_model_data_); continue; } } ESP_LOGI(TAG, "Audio detection task ended"); } void CustomWakeWord::StoreWakeWordData(const int16_t* data, size_t samples) { // store audio data to wake_word_pcm_ wake_word_pcm_.emplace_back(std::vector(data, data + samples)); // keep about 2 seconds of data, detect duration is 30ms (sample_rate == 16000, chunksize == 512) while (wake_word_pcm_.size() > 2000 / 30) { wake_word_pcm_.pop_front(); } } void CustomWakeWord::EncodeWakeWordData() { wake_word_opus_.clear(); if (wake_word_encode_task_stack_ == nullptr) { wake_word_encode_task_stack_ = (StackType_t*)heap_caps_malloc(4096 * 8, MALLOC_CAP_SPIRAM); } wake_word_encode_task_ = xTaskCreateStatic([](void* arg) { auto this_ = (CustomWakeWord*)arg; { auto start_time = esp_timer_get_time(); auto encoder = std::make_unique(16000, 1, OPUS_FRAME_DURATION_MS); encoder->SetComplexity(0); // 0 is the fastest int packets = 0; for (auto& pcm: this_->wake_word_pcm_) { encoder->Encode(std::move(pcm), [this_](std::vector&& opus) { std::lock_guard lock(this_->wake_word_mutex_); this_->wake_word_opus_.emplace_back(std::move(opus)); this_->wake_word_cv_.notify_all(); }); packets++; } this_->wake_word_pcm_.clear(); auto end_time = esp_timer_get_time(); ESP_LOGI(TAG, "Encode wake word opus %d packets in %ld ms", packets, (long)((end_time - start_time) / 1000)); std::lock_guard lock(this_->wake_word_mutex_); this_->wake_word_opus_.push_back(std::vector()); this_->wake_word_cv_.notify_all(); } vTaskDelete(NULL); }, "encode_detect_packets", 4096 * 8, this, 2, wake_word_encode_task_stack_, &wake_word_encode_task_buffer_); } bool CustomWakeWord::GetWakeWordOpus(std::vector& opus) { std::unique_lock lock(wake_word_mutex_); wake_word_cv_.wait(lock, [this]() { return !wake_word_opus_.empty(); }); opus.swap(wake_word_opus_.front()); wake_word_opus_.pop_front(); return !opus.empty(); }