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The dataset consists of 7,014 files delivered as 32kHz, mono audio files in .wav format and divided into train and test sets. The train set consists of 6,289, and the test set consists of 725 files. The files were strongly manually annotated with a single ground-truth label. The length of each file is from 500 milliseconds to 4 seconds. The dataset is only allowed for non-commercial and academic research purposes under the creative commons (CC BY-NC-SA 4.0) license. If you use the dataset, please cite our paper and acknowledge the source(freesound.org, Youtube, and Aigei). More details about the Nonspeech7k dataset are available in our article. Article title: "Nonspeech7k dataset: Classification and analysis of human nonspeech sound"
audio dataset, audio classification, human non-speech sound, voice dataset
audio dataset, audio classification, human non-speech sound, voice dataset
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
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