Abstract
This paper presents a novel approach to detect F0 through Convolutional Neural Networks and image processing techniques to directly estimate pitch from spectrogram images. Our new approach demonstrates a very good detection accuracy; a total of 92% of predicted pitch contours have strong or moderate correlations to the true pitch contours. Furthermore, the experimental comparison between our new approach and other state-of-the-art CNN methods reveals that our approach can enhance the detection rate by approximately 5% across various Signal-to-Noise Ratio conditions.
Abstract (translated)
本文提出了一种通过卷积神经网络和图像处理技术直接从频谱图中估算基频的新方法。我们的新方法展示了非常高的检测精度；预测的92%的音高轮廓与真实的音高轮廓具有强或中等的相关性。此外，我们新的方法与其他最先进的CNN方法之间的实验对比表明，在各种信噪比条件下，我们的方法可以提高约5%的检测率。
URL
https://arxiv.org/abs/2504.06165
