论文标题
通过构造音频文件来提高光谱特征提取的效率
Improving the efficiency of spectral features extraction by structuring the audio files
论文作者
论文摘要
从音乐剪辑中提取光谱特征是一项计算昂贵的任务。如为了提取准确的功能，我们需要处理剪辑的整个长度。这项预处理任务创造了一个大开销，还使提取过程较慢。我们展示了如何以某种方式格式化数据集，可以通过消除整个持续时间处理剪辑的需求，并仍然准确提取功能，从而有助于提高过程的效率。此外，我们讨论了定义一般持续时间以分析训练时某种类型的音乐剪辑的可能性。这样一来，我们将处理剪辑持续时间的需求减少到了全球平均水平的10％。
The extraction of spectral features from a music clip is a computationally expensive task. As in order to extract accurate features, we need to process the clip for its whole length. This preprocessing task creates a large overhead and also makes the extraction process slower. We show how formatting a dataset in a certain way, can help make the process more efficient by eliminating the need for processing the clip for its whole duration, and still extract the features accurately. In addition, we discuss the possibility of defining set generic durations for analyzing a certain type of music clip while training. And in doing so we cut down the need of processing the clip duration to just 10% of the global average.
