SDDLASNov 6, 2018

NIPS4Bplus: a richly annotated birdsong audio dataset

arXiv:1811.02275v237 citations
Originality Synthesis-oriented
AI Analysis

This dataset addresses a bottleneck for researchers in ecoacoustics and bird monitoring by providing detailed annotations, though it is incremental as it builds on existing data collection efforts.

The authors tackled the problem of limited fully annotated birdsong recordings by presenting NIPS4Bplus, the first richly annotated birdsong audio dataset, which includes recordings with species tags and temporal annotations, enabling various ecoacoustic tasks.

Recent advances in birdsong detection and classification have approached a limit due to the lack of fully annotated recordings. In this paper, we present NIPS4Bplus, the first richly annotated birdsong audio dataset, that is comprised of recordings containing bird vocalisations along with their active species tags plus the temporal annotations acquired for them. Statistical information about the recordings, their species specific tags and their temporal annotations are presented along with example uses. NIPS4Bplus could be used in various ecoacoustic tasks, such as training models for bird population monitoring, species classification, birdsong vocalisation detection and classification.

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