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Extraction of video songs from movies using audio features

机译:使用音频功能从电影中提取视频歌曲

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A movie gathers different fractions like comedy scenes, action, dialogs and songs. Extraction of songs from movies is carried out in this paper with the help of special audio features which helps to distinguish between song and non-song. The algorithm used here performs the operations of movie segmentation, intensity based classification and audio clues based improvements. Intensity based classifications leads to the promising song sequences which may include non-song portions. Such false detections are eliminated using audio clues namely tempo and zero crossing rate. Movies of different genre like comedy, drama, action, thriller, romantic and suspense having different languages specifically Hindi, Marathi, Gujarati and English are taken here for measuring accuracy of this work.
机译:电影收集了不同的片段,如喜剧场景,动作,对话和歌曲。本文借助特殊的音频功能从电影中提取歌曲,这些音频功能有助于区分歌曲和非歌曲。这里使用的算法执行电影分割,基于强度的分类和基于音频线索的改进的操作。基于强度的分类导致可能包含非歌曲部分的有前途的歌曲序列。使用音频线索即速度和零交叉率可以消除这种错误检测。为了评估这项工作的准确性,在这里拍摄了不同类型的电影,如喜剧,戏剧,动作,惊悚片,浪漫片和悬疑片,具有不同的语言,特别是印地语,马拉地语,古吉拉特语和英语。

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