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license: cc-by-nc-4.0 |
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# VibroTemp092024 |
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## A vibroacoustic temperature dataset |
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For research details, check out our paper: [Temperature Prediction extracted from Tissue-Needle Vibroacoustic Signals: Initial Findings](https://doi.org/10.36227/techrxiv.173386402.21219983/v1). |
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The dataset consists of three folders: |
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- annotations, |
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- audio, |
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- snippets |
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Below are the descriptions of the files in each of the folders. |
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### Annotations |
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Each annotation file is a JSON file with the following keys: |
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1. audio_file - name of the audio file recorded during the measurement |
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2. audio_annotations - manual annotation, based off the video recordings, of relevant events (in samples): |
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- 1 -> the moment the needle tip enters the foam |
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- 2 -> the stop of the needle forward movement in the foam |
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- 3 & 4 -> not relevant |
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3. video_file - name of the video file recorded during the audio measurement - not relevant |
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4. video_annotations - same as audio_annotations, but the frame of the event is given - not relevant |
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### Audio |
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The audio files collected during the vibroacoustic measurements. There are two channels - the first corresponds to the needle microphone, and the second corresponds to the environment microphone, which was used for noise cancellation. |
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### Snippets |
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The cut audio files which were converted to Mel spectrograms and used as input to the deep learning model. |
