Data Structure ?
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Data Structure ?
*The above analysis is the result extracted and analyzed by the system, and the specific actual data shall prevail.
README.md
FAT2019用の前処理済みデータセット
[Freesound Audio Tagging 2019](https://www.kaggle.com/c/freesound-audio-tagging-2019)用の複数種類の処理済み音声データセット。
前処理の種類
このデータセットには、全時間範囲を使用した3種類の前処理が含まれています。
- 対数メルスケールスペクトログラム 128xN
- 対数メルスケールΔΔ位相スペクトログラム 128xN
- MFCC 64xN
また、トレーニング用の精選データとノイジーデータのCSVから無音行を除外したデータも含まれています。
設定
class AugmentationConfig:
padding_scale = 1.
whitenoise = True
whitenoise_level = 1e-3 # 0.~1.
pitchshift = True
pitchshift_steps = 2. # steps (12/oct)
class PreproConfig:
gen_mels = True
gen_phase = True
gen_mfcc = True
gen_augmentation = True
sr = 44100
duration = 2. # secs
n_out = 128
n_mfcc = 64 # 一般的には13
n_mels = 128
n_fft = n_mels * 20
fmin = 20
fmax = sr // 2
phase_root = (1. / 2.)
hop_len = int(sr * duration // n_out)
sample_size = int(sr * duration)
padding_size = int(sample_size * AugmentationConfig.padding_scale)
前処理カーネル
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- 1. The data originates from internet data collection or provided by service providers, and this platform offers users the ability to view and browse datasets.
- 2. This platform serves only as a basic information display for datasets, including but not limited to image, text, video, and audio file types.
- 3. Basic dataset information comes from the original data source or the information provided by the data provider. If there are discrepancies in the dataset description, please refer to the original data source or service provider's address.
- 1. All datasets on this site are copyrighted by their original publishers or data providers.
- 1. If you need to repost data from this site, please retain the original data source URL and related copyright notices.
- 1. If any data on this site involves infringement, please contact us promptly, and we will arrange for the data to be taken offline.
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