Speech_Embedding_Engine.md

graph LR
    Audio_Input_Handler["Audio Input Handler"]
    Audio_Preprocessor_Feature_Extractor["Audio Preprocessor/Feature Extractor"]
    Speech_Embedding_Engine["Speech Embedding Engine"]
    Wake_Word_Detector_Classifier["Wake Word Detector/Classifier"]
    Configuration_Manager["Configuration Manager"]
    Command_Line_Interface_CLI_Parser["Command Line Interface (CLI) Parser"]
    Audio_Input_Handler -- "provides raw audio data to" --> Audio_Preprocessor_Feature_Extractor
    Audio_Preprocessor_Feature_Extractor -- "provides mel-spectrograms to" --> Speech_Embedding_Engine
    Speech_Embedding_Engine -- "provides speech embeddings to" --> Wake_Word_Detector_Classifier
    Command_Line_Interface_CLI_Parser -- "provides parsed arguments/commands to" --> Configuration_Manager
    Configuration_Manager -- "configures" --> Audio_Preprocessor_Feature_Extractor
    Configuration_Manager -- "configures" --> Speech_Embedding_Engine
    Configuration_Manager -- "configures" --> Wake_Word_Detector_Classifier
    click Speech_Embedding_Engine href "https://github.com/CodeBoarding/GeneratedOnBoardings/blob/main/openWakeWord-cpp/Speech_Embedding_Engine.md" "Details"

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Details

The openWakeWord-cpp system is designed as a real-time audio processing pipeline for wake word detection. The Audio Input Handler initiates the process by acquiring raw audio data, which is then fed into the Audio Preprocessor/Feature Extractor. This component transforms the raw audio into mel-spectrograms, a crucial step for machine learning inference. The Speech Embedding Engine subsequently processes these mel-spectrograms to generate high-dimensional speech embeddings using an ONNX model. These embeddings are then passed to the Wake Word Detector/Classifier, which makes the final decision on wake word presence. System-wide parameters are managed by the Configuration Manager, which receives initial settings from the Command Line Interface (CLI) Parser and distributes them to the Audio Preprocessor/Feature Extractor, Speech Embedding Engine, and Wake Word Detector/Classifier to ensure adaptable and flexible operation.

Audio Input Handler

Manages the acquisition of raw audio data from the system's audio input devices (e.g., microphone). This component is fundamental for any real-time audio processing system, orchestrating the flow of audio samples into the processing pipeline.

Related Classes/Methods:

• src/main.cpp

Audio Preprocessor/Feature Extractor

Performs initial signal processing on raw audio, including tasks like framing, windowing, and generating acoustic features such as mel-spectrograms, which are crucial for subsequent ML stages. It receives raw audio data and configuration parameters to produce processed mel-spectrograms.

Related Classes/Methods:

• audioToMels

Speech Embedding Engine [Expand]

Generates high-dimensional speech embeddings from input mel-spectrograms. It utilizes a dedicated ONNX model (embedding_model.onnx) and the ONNX Runtime to perform efficient machine learning inference, preparing the data for wake word classification. This component is the core of the feature transformation.

Related Classes/Methods:

• melsToFeatures

Wake Word Detector/Classifier

Takes the high-dimensional speech embeddings as input and applies a classification model to determine if a wake word has been detected. This is the final decision-making component of the pipeline, relying on configuration for its detection logic.

Related Classes/Methods:

• featuresToOutput

Configuration Manager

Responsible for loading, parsing, and distributing system-wide configuration parameters to various components. This ensures flexibility and adaptability of the system in different environments or for different wake word models, receiving initial settings from the CLI.

Related Classes/Methods:

• Settings

Command Line Interface (CLI) Parser

Handles the parsing of command-line arguments and options provided by the user, translating them into actionable commands or configuration overrides for the system. Essential for a CLI tool, it provides initial configuration data to the Configuration Manager.

Related Classes/Methods:

• ensureArg
• printUsage

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