Frequency‐Temporal Filtering for a Robust Audio Fingerprinting Scheme in Real‐Noise Environments
Frequency‐Temporal Filtering for a Robust Audio Fingerprinting Scheme in Real‐Noise Environments
复制标题
DOI：
10.4218/etrij.06.0205.0135
复制
发表时间：
2006-08
期刊：
影响因子：
1.4
通讯作者：
Mansoo Park;Hoirin Kim;Seung Hyun Yang
中科院分区：
文献类型：
--
作者：
Mansoo Park;Hoirin Kim;Seung Hyun Yang
在真实的环境中，声道噪声和背景噪声会使声音记录失真，从而影响声音识别的性能。最近，飞利浦推出了一种稳健高效的音频指纹识别方案，将差分（高通滤波）应用于感知滤波器组能量的频率-时间序列。然而，在实践中，音频指纹方案的鲁棒性在真实的环境中仍然是重要的。在这封信中，我们介绍了频率-时间滤波组合的替代方案，用于Philips音频指纹识别方案的扩展方法，以在真实的情况下实现对信道和背景噪声的鲁棒性。实验结果表明，该滤波组合提高了音频识别中的噪声鲁棒性。
In a real environment, sound recordings are commonly distorted by channel and background noise, and the performance of audio identification is mainly degraded by them. Recently, Philips introduced a robust and efficient audio fingerprinting scheme applying a differential (high‐pass filtering) to the frequency‐time sequence of the perceptual filter‐bank energies. In practice, however, the robustness of the audio fingerprinting scheme is still important in a real environment. In this letter, we introduce alternatives to the frequency‐temporal filtering combination for an extension method of Philips’ audio fingerprinting scheme to achieve robustness to channel and background noise under the conditions of a real situation. Our experimental results show that the proposed filtering combination improves noise robustness in audio identification.