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Pitch Tracking and Pitch Smoothing Methods-Based Statistical Approach to Explore Singers' Melody of Voice on a Set of Songs of Tagore

机译：基于音高跟踪和音高平滑方法的统计方法，用于探索一组泰戈尔歌曲上歌手的声音旋律

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摘要

The paper depicts a systematic procedure using pitch tracking and pitch smoothing methods-based statistical approach for exploring the singers' melody of voice for a set of songs of poet Rabindranath Tagore sung by different renowned singers. The medium category (Mudara) of songs started with vowel 'aa' has been incorporated in the data set of songs. Index of melody has been estimated numerically based on semitones of different singers for a particular duration of the first vocal phrase. The value of probability of significance calculated by one-way ANOVA has been considered for the comparative study of the index of melody of the singers of particular song, and the results show the significant difference among the singers of same song of Tagore.
机译：本文描述了一种基于音调跟踪和基于音调​​平滑方法的统计方法的系统程序，该方法用于探索歌手的声音旋律，以了解不同著名歌手演唱的一组诗人拉宾德拉纳特·泰戈尔的歌曲。以元音“ aa”开头的中等类别的歌曲（Mudara）已包含在歌曲数据集中。旋律指数已根据不同歌手在第一个声带特定持续时间内的半音进行了数字估算。对于单首歌的歌手的旋律指数的比较研究，已经考虑了通过单因素方差分析计算出的显着性概率值，结果表明，泰戈尔同一首歌的歌手之间存在显着差异。

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