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xiaozhi-esp32/main/audio/wake_words/custom_wake_word.cc

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#include "custom_wake_word.h"
#include "application.h"
#include <esp_log.h>
#include <model_path.h>
#include <arpa/inet.h>
#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 <sstream>
#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<void(const std::string& wake_word)> 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<int16_t>& 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<int16_t>(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<OpusEncoderWrapper>(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<uint8_t>&& opus) {
std::lock_guard<std::mutex> 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<std::mutex> lock(this_->wake_word_mutex_);
this_->wake_word_opus_.push_back(std::vector<uint8_t>());
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<uint8_t>& opus) {
std::unique_lock<std::mutex> 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();
}