| # Neural Audio Fingerprint Dataset | |
| (c) 2021 by Sungkyun Chang | |
| https://github.com/mimbres/neural-audio-fp | |
| This dataset includes all music sources, background noise and impulse-reponses | |
| (IR) samples that have been used in the work ["Neural Audio Fingerprint for | |
| High-specific Audio Retrieval based on Contrastive Learning"] | |
| (https://arxiv.org/abs/2010.11910). | |
| ### Format: | |
| 16-bit PCM Mono WAV, Sampling rate 8000 Hz | |
| ### Description: | |
| ``` | |
| / | |
| fingerprint_dataset_icassp2021/ | |
| ├── aug | |
| │ ├── bg <=== Pub/cafe etc. background noise mix | |
| │ ├── ir <=== IR data for microphone and room reverb simulatio | |
| │ └── speech <=== English conversation, NOT USED IN THE PAPER RESULT | |
| ├── extras | |
| │ └── fma_info <=== Meta data for music sources. | |
| └── music | |
| ├── test-dummy-db-100k-full <== 100K songs of full-lengths | |
| ├── test-query-db-500-30s <== 500 songs (30s) and 2K synthesized queries | |
| ├── train-10k-30s <== 10K songs (30s) for training | |
| └── val-query-db-500-30s <== 500 songs (30s) for validation/mini-search | |
| ``` | |
| ### Data source: | |
| • Bacgkound noise from Audioset was retrieved using key words ['subway', | |
| 'metro', 'underground', 'not music'] | |
| • Cochlear.ai pub-noise was recorded at the Strabucks branches in Seoul by | |
| Jeongsoo Park. | |
| • Random noise was generated by Donmoon Lee. | |
| • Room/space IR data was collected from Aachen IR and OpenAIR 1.4 dataset. | |
| • Portions of MIC IRs were from Vintage MIC (http://recordinghacks.com/), and | |
| pre-processed with room/space IR data. | |
| • Portions of MIC IRs were recorded by Donmoon Lee, Jeonsu Park and Hyungui Lim | |
| using mobile devices in the anechoic chamber at Seoul National University. | |
| • All music sources were taken from the Free Music Archive (FMA) data set, | |
| and converted from `stereo 44Khz` to `mono 8Khz`. | |
| • train-10k-30s contains all 8K songs from FMA_small. The remaining 2K songs | |
| were from FMA_medium. | |
| • val- and test- data were isolated from train-, and taken from FMA_medium. | |
| • test-query-db-500-30s/query consists of the pre-synthesized 2,000 queries | |
| of 10s each (SNR 0~10dB) and their corresponding 500 songs of 30s each. | |
| • Additionally, query_fixed_SNR directory contains synthesized queries with | |
| fixed SNR of 0dB and -3dB. | |
| • dummy-db-100k was taken from FMA_full, and duplicates with other sets were | |
| removed. | |
| ### License: | |
| This dataset is distributed under the CC BY-SA 2.0 license separately from the | |
| github source code, and licenses for composites from other datasets are | |
| attached to each sub-directory. | |