Age Detection of Singer using KNN Algorithm
International Journal of Science and Research (IJSR)

International Journal of Science and Research (IJSR)
Call for Papers | Fully Refereed | Open Access | Double Blind Peer Reviewed

ISSN: 2319-7064


Downloads: 106 | Views: 407

Survey Paper | Computer Science & Engineering | India | Volume 4 Issue 7, July 2015 | Popularity: 6.6 / 10


     

Age Detection of Singer using KNN Algorithm

Sumeet S. Andhalkar


Abstract: In this paper we are going to study implementation age detection of singer through KNN algorithm. We can study that, it is possible to implement this age detection application through KNN algorithm. KNN is a type of instance-based learning or lazy learning, where the role is only approximated locally and all computation is overdue until classification. The KNN algorithm is one of the simplest of all machine learning algorithms. We can use timbre values for training and testing and can use KNN algorithm. The system can be trained so it will give correct output based on training parameters and testing parameters. The training testing methods we can use to assess the age. The algorithm KNN and other timbre values and voice features are also important key factors.


Keywords: Timbre, Pitch, Vocals, Sinusoidal, Vibratos, Tremolos


Edition: Volume 4 Issue 7, July 2015


Pages: 2039 - 2041



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Sumeet S. Andhalkar, "Age Detection of Singer using KNN Algorithm", International Journal of Science and Research (IJSR), Volume 4 Issue 7, July 2015, pp. 2039-2041, https://www.ijsr.net/getabstract.php?paperid=SUB156572, DOI: https://www.doi.org/10.21275/SUB156572

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