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