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Multi-band sum of spectrogram based audio fingerprinting of Indian film songs for multi-lingual song retrieval

机译:基于多语种歌曲检索的印度电影歌曲的基于音频指纹的多频段

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Film music compositions are highly diversified, exhibiting not just changes in background scores and singer's voices, but even the lyrical embellishments are morphed into different languages to suit regional audiences. Given this diversified prevalence amongst recorded film music, retrieval becomes extremely challenging. In this paper we propose an approach based on a multi-band sum of spectrogram, executing a delicate tradeoff between sensitivity to pitch jitters incurred by lyrical and singer voice changes while keeping the melodic signature intact. The top-3 retrieval accuracy for the multi-band sum of spectrogram has been found to be around 91% for an STFT window size of 128ms.
机译:电影音乐作品具有高度多样化,不仅表现出背景分数和歌手的声音,但即使是抒情的装饰也是为了适应区域受众的不同语言。鉴于录制电影音乐之间的这种多元化普遍性,检索变得非常具有挑战性。在本文中,我们提出了一种基于多带谱图的方法,在抒情和歌手语音变化的同时,在保持旋律特征完整的同时,在幽默和歌手的变化发生的敏感性之间进行微妙的折衷。已发现多带频谱图的前3个检索精度为STFT窗口大小为128ms的大约91%。

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