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
文脈
話者識別タスクのために抽出された様々な音声特徴量
内容
無音部分を除去するための音声前処理を行った後、理想的には単一話者に対して異なるYouTube音声から64個の特徴量が抽出されます。
ファイル名はYouTube IDであり、詳細情報を取得するために簡単に特定できます。
謝辞
詳細情報については、以下のURLを参照してください。
https://github.com/tyiannak/pyAudioAnalysis/wiki/3.-Feature-Extraction
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- 2. This platform serves only as a basic information display for datasets, including but not limited to image, text, video, and audio file types.
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IV. Infringement and Handling Explanation:
- 1. If any data on this site involves infringement, please contact us promptly, and we will arrange for the data to be taken offline.
- 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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