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