diff --git a/README.md b/README.md deleted file mode 100755 index 0d7c8ab23718087cc1f3b8be958895ce4a1e44ca..0000000000000000000000000000000000000000 --- a/README.md +++ /dev/null @@ -1,55 +0,0 @@ -# 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. diff --git a/default/train/0000.parquet b/default/train/0000.parquet new file mode 100644 index 0000000000000000000000000000000000000000..eda50a3e69b7e9d54f4540cb1dc62dae0a5f826b --- /dev/null +++ b/default/train/0000.parquet @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid 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