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