InfantMarmosetsVox is a dataset for multi-class call-type and caller identification. It contains audio recordings of different individual marmosets and their call-types. The dataset contains a total of 350 files of precisely labelled 10-minute audio recordings across all caller classes. The audio was recorded from five pairs of infant marmoset twins, each recorded individually in two separate sound-proofed recording rooms at a sampling rate of 44.1 kHz. The start and end time, call-type, and marmoset identity of each vocalization are provided, labeled by an experienced researcher. A PyTorch Dataloader is included in this dataset.
Dataset Description: The dataset comprises audio recordings of the wing beats of Aedes aegypti mosquitoes and others, conducted in a semi-controlled environment. It encompasses approximately 18,706 seconds of recording, with properly labeled samples. Dataset Characteristics: - Data Type: Audio recordings. - Total Duration: Approximately 18,706 seconds. - Labeling: Labeled samples. - Environment: Semi-controlled. - Data Type: Audio recordings. - Total Duration: Approximately 18,706 seconds. - Species: Aedes aegypti and others.