世代:一种音乐体裁识别应用

Proceedings of the 9th ACM International Conference on PErvasive Technologies Related to Assistive Environments Pub Date : 2016-06-29 DOI:10.1145/2910674.2935862

Milind Bhattacharya, Sravanthi Garikipati, Meena Valisekka, Michalis Papakostas

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引用次数: 0

摘要

在本文中，我们提出了一种新颖而快速的方法来识别歌曲的类型。我们的应用程序generation - ation将音频信号转换为频谱图和波形，并使用阈值法进行特征提取。此外，我们为这个应用程序提出了一个用户友好的web界面，我们通过可用性测试来评估它。实验表明，在创建准确的基于类型的播放列表方面，generation - ation优于现有的音乐应用程序，因为我们的应用程序与没有元数据的歌曲进行了协调。

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Genre-Ation: A Music Genre Identification Application

In this paper we present a novel and faster approach to identify songs by genre. Our application, Genre-Ation, converts the audio signals to spectrograms and waveforms and uses thresholding for feature extraction. In addition, we propose a user-friendly web interface for this application and we evaluate it through a usability testing. Experiments suggested that Genre-Ation outperforms the existing music applications in terms of creating accurate genre based playlist due to the fact that our application is attuned with songs without metadata.

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来源期刊

Proceedings of the 9th ACM International Conference on PErvasive Technologies Related to Assistive Environments

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