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music-fingerprint-dataset

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  1. README.md +0 -55
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README.md DELETED
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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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-
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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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-
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- ### Format:
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- 16-bit PCM Mono WAV, Sampling rate 8000 Hz
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-
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- ### Description:
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- ```
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- /
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- fingerprint_dataset_icassp2021/
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- ├── aug
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- │ ├── bg <=== Pub/cafe etc. background noise mix
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- │ ├── ir <=== IR data for microphone and room reverb simulatio
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- │ └── speech <=== English conversation, NOT USED IN THE PAPER RESULT
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- ├── extras
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- │ └── fma_info <=== Meta data for music sources.
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- └── music
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- ├── test-dummy-db-100k-full <== 100K songs of full-lengths
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- ├── test-query-db-500-30s <== 500 songs (30s) and 2K synthesized queries
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- ├── train-10k-30s <== 10K songs (30s) for training
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- └── 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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- • Bacgkound noise from Audioset was retrieved using key words ['subway',
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- 'metro', 'underground', 'not music']
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- • Cochlear.ai pub-noise was recorded at the Strabucks branches in Seoul by
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- Jeongsoo Park.
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- • Random noise was generated by Donmoon Lee.
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- • Room/space IR data was collected from Aachen IR and OpenAIR 1.4 dataset.
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- • 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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- • 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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- • 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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- • 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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- • val- and test- data were isolated from train-, and taken from FMA_medium.
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- • 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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- • Additionally, query_fixed_SNR directory contains synthesized queries with
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- fixed SNR of 0dB and -3dB.
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- • dummy-db-100k was taken from FMA_full, and duplicates with other sets were
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- removed.
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-
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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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