Fourier-Lapped Multilayer Perceptron Method for Speech Quality Assessment

Fourier-Lapped Multilayer Perceptron Method for Speech Quality Assessment

The paper introduces a new objective method for speech quality assessment called Fourier-lappedmultilayer perceptron (FLMLP). This method uses an overcomplete transform based on the discrete Fourier transform (DFT) and modulated lapped transform (MLT). This transform generates the DFT and theMLT speech spectral domains fromwhich several relevant perceptual parameters are extracted. The proposed...

A New Method of Multilayer Perceptron Encoding

One of the central issues in neural network research is how to find an optimal MultiLayer Perceptron architecture. The number of neurons, their organization in layers, as well as their connection scheme have a considerable influence on network learning, and on the capacity for generalization [7]. A solution to find out these parameters is needed: The neuro-evolution ([1,2,4,5]). The novelty is ...

Multilayer Perceptron Based Hierarchical Acoustic Modeling for Automatic Speech Recognition

Maximum covariance method for weight initialization of multilayer perceptron network

Multilayer Perceptron for Label Ranking

Label Ranking problems are receiving increasing attention in machine learning. The goal is to predict not just a single value from a finite set of labels, but rather the permutation of that set that applies to a new example (e.g., the ranking of a set of financial analysts in terms of the quality of their recommendations). In this paper, we adapt a multilayer perceptron algorithm for label rank...