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Add more debugging logs to microWakeWord (#6238)
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parent
373569d86d
commit
7aa2c494c8
3 changed files with 35 additions and 14 deletions
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@ -261,7 +261,7 @@ CONFIG_SCHEMA = cv.All(
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{
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cv.GenerateID(): cv.declare_id(MicroWakeWord),
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cv.GenerateID(CONF_MICROPHONE): cv.use_id(microphone.Microphone),
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cv.Optional(CONF_PROBABILITY_CUTOFF): cv.float_,
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cv.Optional(CONF_PROBABILITY_CUTOFF): cv.percentage,
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cv.Optional(CONF_SLIDING_WINDOW_AVERAGE_SIZE): cv.positive_int,
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cv.Optional(CONF_ON_WAKE_WORD_DETECTED): automation.validate_automation(
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single=True
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@ -53,8 +53,15 @@ static const LogString *micro_wake_word_state_to_string(State state) {
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}
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}
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void MicroWakeWord::dump_config() {
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ESP_LOGCONFIG(TAG, "microWakeWord:");
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ESP_LOGCONFIG(TAG, " Wake Word: %s", this->get_wake_word().c_str());
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ESP_LOGCONFIG(TAG, " Probability cutoff: %.3f", this->probability_cutoff_);
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ESP_LOGCONFIG(TAG, " Sliding window size: %d", this->sliding_window_average_size_);
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}
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void MicroWakeWord::setup() {
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ESP_LOGCONFIG(TAG, "Setting up Micro Wake Word...");
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ESP_LOGCONFIG(TAG, "Setting up microWakeWord...");
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if (!this->initialize_models()) {
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ESP_LOGE(TAG, "Failed to initialize models");
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@ -63,7 +70,7 @@ void MicroWakeWord::setup() {
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}
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ExternalRAMAllocator<int16_t> allocator(ExternalRAMAllocator<int16_t>::ALLOW_FAILURE);
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this->input_buffer_ = allocator.allocate(NEW_SAMPLES_TO_GET);
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this->input_buffer_ = allocator.allocate(INPUT_BUFFER_SIZE * sizeof(int16_t));
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if (this->input_buffer_ == nullptr) {
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ESP_LOGW(TAG, "Could not allocate input buffer");
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this->mark_failed();
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@ -81,7 +88,7 @@ void MicroWakeWord::setup() {
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}
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int MicroWakeWord::read_microphone_() {
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size_t bytes_read = this->microphone_->read(this->input_buffer_, NEW_SAMPLES_TO_GET * sizeof(int16_t));
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size_t bytes_read = this->microphone_->read(this->input_buffer_, INPUT_BUFFER_SIZE * sizeof(int16_t));
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if (bytes_read == 0) {
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return 0;
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}
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@ -279,11 +286,6 @@ bool MicroWakeWord::initialize_models() {
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}
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bool MicroWakeWord::update_features_() {
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// Verify we have enough samples for a feature slice
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if (!this->slice_available_()) {
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return false;
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}
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// Retrieve strided audio samples
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int16_t *audio_samples = nullptr;
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if (!this->stride_audio_samples_(&audio_samples)) {
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@ -369,20 +371,36 @@ void MicroWakeWord::set_sliding_window_average_size(size_t size) {
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bool MicroWakeWord::slice_available_() {
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size_t available = this->ring_buffer_->available();
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size_t free = this->ring_buffer_->free();
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if (free < NEW_SAMPLES_TO_GET * sizeof(int16_t)) {
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// If the ring buffer is within one audio slice of being full, then wake word detection will have issues.
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// If this is constantly occuring, then some possibilities why are
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// 1) there are too many other slow components configured
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// 2) the ESP32 isn't fast enough; e.g., an ESP32 is much slower than an ESP32-S3 at inferences.
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// 3) the model is too large
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// 4) the model uses operations that are not optimized
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ESP_LOGW(TAG,
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"Audio buffer is nearly full. Wake word detection may be less accurate and have slower reponse times. "
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#if !defined(USE_ESP32_VARIANT_ESP32S3)
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"microWakeWord is designed for the ESP32-S3. The current platform is too slow for this model."
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#endif
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);
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}
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return available > (NEW_SAMPLES_TO_GET * sizeof(int16_t));
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}
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bool MicroWakeWord::stride_audio_samples_(int16_t **audio_samples) {
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if (!this->slice_available_()) {
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return false;
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}
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// Copy 320 bytes (160 samples over 10 ms) into preprocessor_audio_buffer_ from history in
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// preprocessor_stride_buffer_
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memcpy((void *) (this->preprocessor_audio_buffer_), (void *) (this->preprocessor_stride_buffer_),
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HISTORY_SAMPLES_TO_KEEP * sizeof(int16_t));
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if (this->ring_buffer_->available() < NEW_SAMPLES_TO_GET * sizeof(int16_t)) {
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ESP_LOGD(TAG, "Audio Buffer not full enough");
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return false;
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}
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// Copy 640 bytes (320 samples over 20 ms) from the ring buffer
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// The first 320 bytes (160 samples over 10 ms) will be from history
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size_t bytes_read = this->ring_buffer_->read((void *) (this->preprocessor_audio_buffer_ + HISTORY_SAMPLES_TO_KEEP),
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@ -66,6 +66,7 @@ class MicroWakeWord : public Component {
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void setup() override;
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void loop() override;
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float get_setup_priority() const override;
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void dump_config() override;
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void start();
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void stop();
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@ -74,6 +75,8 @@ class MicroWakeWord : public Component {
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bool initialize_models();
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std::string get_wake_word() { return this->wake_word_; }
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// Increasing either of these will reduce the rate of false acceptances while increasing the false rejection rate
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void set_probability_cutoff(float probability_cutoff) { this->probability_cutoff_ = probability_cutoff; }
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void set_sliding_window_average_size(size_t size);
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