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  1. README.md +43 -0
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README.md ADDED
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+ ---
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+ task_categories:
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+ - feature-extraction
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+ language:
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+ - ko
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+ tags:
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+ - audio
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+ - homecam
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+ - npy
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+ ---
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+
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+ ## Dataset Overview
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+ - The dataset is a curated collection of `.npy` files containing MFCC features extracted from raw audio recordings.
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+ - It has been specifically designed for training and evaluating machine learning models in the context of real-world emergency sound detection and classification tasks.
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+ - The dataset captures diverse audio scenarios, making it a robust resource for developing safety-focused AI systems, such as the `SilverAssistant` project.
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+
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+ ## Dataset Description
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+ - The dataset used for this audio model consists of `.npy` files containing MFCC features extracted from raw audio recordings. These recordings include various real-world scenarios, such as:
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+ - Criminal activities
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+ - Violence
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+ - Falls
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+ - Cries for help
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+ - Normal indoor sounds
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+
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+ - Feature Extraction Process
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+ 1. Audio Collection:
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+ - Audio samples were sourced from datasets, such as AI Hub, to ensure coverage of diverse scenarios.
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+ - These include emergency and non-emergency sounds to train the model for accurate classification.
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+ 2. MFCC Extraction:
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+ - The raw audio signals were processed to extract Mel-Frequency Cepstral Coefficients (MFCC).
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+ - The MFCC features effectively capture the frequency characteristics of the audio, making them suitable for sound classification tasks.
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+ ![MFCC Output](./pics/mfcc-output.png)
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+ 3. Output Format:
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+ - The extracted MFCC features are saved as `13 x n` numpy arrays, where:
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+ - 13: Represents the number of MFCC coefficients (features).
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+ - n: Corresponds to the number of frames in the audio segment.
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+ 4. Saved Dataset:
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+ - The processed `13 x n` MFCC arrays are stored as `.npy` files, which serve as the direct input to the model.
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+
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+ - Adaptation in `SilverAssistant` project: [HuggingFace SilverAudio Model](https://huggingface.co/SilverAvocado/Silver-Audio)
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+
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+ ## Data Source
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+ - Source: [AI Hub 위급상황 음성/음향](https://www.aihub.or.kr/aihubdata/data/view.do?currMenu=&topMenu=&aihubDataSe=data&dataSetSn=170)
pics/mfcc-output.png ADDED

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