Traditional Machine Learning for Pitch Detection
Traditional Machine Learning for Pitch Detection is a scholarly work, published in 2018 in ''IEEE Signal Processing Letters''. The main subjects of the publication include parametric statistics, cluster analysis, regression, artificial intelligence, artificial neural network, Speech enhancement, unsupervised learning, voice, extreme learning machine, speech recognition, supervised learning, audio signal processing, machine learning, pattern recognition, perceptron, computer science, and multilayer perceptron. The authors consider voicing detection as a\nclassification problem and F0 contour estimation as a regression problem.