forked from xiaozhi/xiaozhi-esp32
242 lines
8.4 KiB
C++
242 lines
8.4 KiB
C++
#include "custom_wake_word.h"
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#include "application.h"
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#include <esp_log.h>
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#include <model_path.h>
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#include <arpa/inet.h>
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#include "esp_wn_iface.h"
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#include "esp_wn_models.h"
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#include "esp_afe_sr_iface.h"
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#include "esp_afe_sr_models.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 <sstream>
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#define DETECTION_RUNNING_EVENT 1
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#define TAG "CustomWakeWord"
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CustomWakeWord::CustomWakeWord()
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: afe_data_(nullptr),
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wake_word_pcm_(),
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wake_word_opus_() {
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event_group_ = xEventGroupCreate();
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}
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CustomWakeWord::~CustomWakeWord() {
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if (afe_data_ != nullptr) {
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afe_iface_->destroy(afe_data_);
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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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vEventGroupDelete(event_group_);
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}
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void CustomWakeWord::Initialize(AudioCodec* codec) {
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codec_ = codec;
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int ref_num = codec_->input_reference() ? 1 : 0;
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models = esp_srmodel_init("model");
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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;
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}
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std::string input_format;
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for (int i = 0; i < codec_->input_channels() - ref_num; i++) {
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input_format.push_back('M');
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}
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for (int i = 0; i < ref_num; i++) {
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input_format.push_back('R');
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}
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afe_config_t* afe_config = afe_config_init(input_format.c_str(), models, AFE_TYPE_SR, AFE_MODE_HIGH_PERF);
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afe_config->aec_init = codec_->input_reference();
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afe_config->aec_mode = AEC_MODE_SR_HIGH_PERF;
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afe_config->afe_perferred_core = 1;
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afe_config->afe_perferred_priority = 1;
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afe_config->memory_alloc_mode = AFE_MEMORY_ALLOC_MORE_PSRAM;
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afe_iface_ = esp_afe_handle_from_config(afe_config);
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afe_data_ = afe_iface_->create_from_config(afe_config);
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xTaskCreate([](void* arg) {
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auto this_ = (CustomWakeWord*)arg;
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this_->AudioDetectionTask();
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vTaskDelete(NULL);
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}, "audio_detection", 16384, this, 3, nullptr);
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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::StartDetection() {
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xEventGroupSetBits(event_group_, DETECTION_RUNNING_EVENT);
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}
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void CustomWakeWord::StopDetection() {
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xEventGroupClearBits(event_group_, DETECTION_RUNNING_EVENT);
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if (afe_data_ != nullptr) {
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afe_iface_->reset_buffer(afe_data_);
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}
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}
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bool CustomWakeWord::IsDetectionRunning() {
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return xEventGroupGetBits(event_group_) & DETECTION_RUNNING_EVENT;
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}
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void CustomWakeWord::Feed(const std::vector<int16_t>& data) {
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if (afe_data_ == nullptr) {
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return;
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}
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afe_iface_->feed(afe_data_, data.data());
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}
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size_t CustomWakeWord::GetFeedSize() {
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if (afe_data_ == nullptr) {
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return 0;
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}
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return afe_iface_->get_feed_chunksize(afe_data_) * codec_->input_channels();
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}
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void CustomWakeWord::AudioDetectionTask() {
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auto fetch_size = afe_iface_->get_fetch_chunksize(afe_data_);
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auto feed_size = afe_iface_->get_feed_chunksize(afe_data_);
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// 初始化 multinet (命令词识别)
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char *mn_name = esp_srmodel_filter(models, ESP_MN_PREFIX, ESP_MN_CHINESE);
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ESP_LOGI(TAG, "multinet:%s", mn_name);
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esp_mn_iface_t *multinet = esp_mn_handle_from_name(mn_name);
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model_iface_data_t *model_data = multinet->create(mn_name, 2000); // 2秒超时
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multinet->set_det_threshold(model_data, 0.5);
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esp_mn_commands_clear();
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esp_mn_commands_add(1, CONFIG_CUSTOM_WAKE_WORD); // 添加自定义唤醒词作为命令词
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esp_mn_commands_update();
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int mu_chunksize = multinet->get_samp_chunksize(model_data);
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assert(mu_chunksize == feed_size);
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// 打印所有的命令词
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multinet->print_active_speech_commands(model_data);
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ESP_LOGI(TAG, "Audio detection task started, feed size: %d fetch size: %d", feed_size, fetch_size);
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ESP_LOGI(TAG, "Custom wake word: %s", CONFIG_CUSTOM_WAKE_WORD);
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// 禁用wakenet，直接使用multinet检测自定义唤醒词
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afe_iface_->disable_wakenet(afe_data_);
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while (true) {
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xEventGroupWaitBits(event_group_, DETECTION_RUNNING_EVENT, pdFALSE, pdTRUE, portMAX_DELAY);
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auto res = afe_iface_->fetch_with_delay(afe_data_, portMAX_DELAY);
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if (res == nullptr || res->ret_value == ESP_FAIL) {
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ESP_LOGW(TAG, "Fetch failed, continue");
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continue;
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}
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// 存储音频数据用于语音识别
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StoreWakeWordData(res->data, res->data_size / sizeof(int16_t));
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// 直接使用multinet检测自定义唤醒词
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esp_mn_state_t mn_state = multinet->detect(model_data, res->data);
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if (mn_state == ESP_MN_STATE_DETECTING) {
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// 仍在检测中，继续
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continue;
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} else if (mn_state == ESP_MN_STATE_DETECTED) {
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// 检测到自定义唤醒词
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esp_mn_results_t *mn_result = multinet->get_results(model_data);
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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[0], mn_result->string, mn_result->prob[0]);
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if (mn_result->command_id[0] == 1) { // 自定义唤醒词
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ESP_LOGI(TAG, "Custom wake word '%s' detected successfully!", CONFIG_CUSTOM_WAKE_WORD);
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// 停止检测
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StopDetection();
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last_detected_wake_word_ = CONFIG_CUSTOM_WAKE_WORD_DISPLAY;
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// 调用回调
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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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// 清理multinet状态，准备下次检测
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multinet->clean(model_data);
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ESP_LOGI(TAG, "Ready for next detection");
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}
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} else if (mn_state == ESP_MN_STATE_TIMEOUT) {
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// 超时，清理状态继续检测
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ESP_LOGD(TAG, "Command word detection timeout, cleaning state");
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multinet->clean(model_data);
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continue;
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}
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}
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// 清理资源
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if (model_data) {
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multinet->destroy(model_data);
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model_data = NULL;
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}
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ESP_LOGI(TAG, "Audio detection task ended");
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}
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void CustomWakeWord::StoreWakeWordData(const int16_t* data, size_t samples) {
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// store audio data to wake_word_pcm_
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wake_word_pcm_.emplace_back(std::vector<int16_t>(data, data + samples));
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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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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(4096 * 8, MALLOC_CAP_SPIRAM);
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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_detect_packets", 4096 * 8, 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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