nccratliri/vad-animals

102 downloads in 30 days0 likesLast modified 21 Feb 2024View on Hugging Face

The declared licence (apache-2.0) is classified as permissive.

Declared licence: apache-2.0, from the tagEvidence: README.md at cab65ba
Licence files: No licence file at the top level of the repositoryEvidence: file list at cab65ba
Declared sources: None listed in the card metadata
Access gated on Hugging Face: No

Each cell links to what was checked: a file, a file list or a Hub record.

Citation text from the card

@article {Gu2023.09.30.560270,
	author = {Nianlong Gu and Kanghwi Lee and Maris Basha and Sumit Kumar Ram and Guanghao You and Richard Hahnloser},
	title = {Positive Transfer of the Whisper Speech Transformer to Human and Animal Voice Activity Detection},
	elocation-id = {2023.09.30.560270},
	year = {2023},
	doi = {10.1101/2023.09.30.560270},
	publisher = {Cold Spring Harbor Laboratory},
	abstract = {This paper introduces WhisperSeg, utilizing the Whisper Transformer pre-trained for Automatic Speech Recognition (ASR) for human and animal Voice Activity Detection (VAD). Contrary to traditional methods that detect human voice or animal vocalizations from a short audio frame and rely on careful threshold selection, WhisperSeg processes entire spectrograms of long audio and generates plain text representations of onset, offset, and type of voice activity. Processing a longer audio context with a larger network greatly improves detection accuracy from few labeled examples. We further demonstrate a positive transfer of detection performance to new animal species, making our approach viable in the data-scarce multi-species setting.Competing Interest StatementThe authors have declared no competing interest.},
	URL = {https://www.biorxiv.org/content/early/2023/10/02/2023.09.30.560270},
	eprint = {https://www.biorxiv.org/content/early/2023/10/02/2023.09.30.560270.full.pdf},
	journal = {bioRxiv}
}

All datasets marked Permissive or share-alike | JSON

The same facts for your agent

A free MCP server at mcp.datalicense.uk/mcp. Connect it from an MCP client such as Claude or Cursor.

dataset_licence({ "id": "nccratliri/vad-animals" })
signal: "permissive"
stated_licence: "apache-2.0"
sources: 0