Summary Objectives/Hypothesis Pitch is one of the most important components in various
speech processing systems. The aim of this study was to evaluate different pitch detection …

A method for measurement of the fundamental frequency of a voiced speech signal
corrupted by high levels of additive white Gaussian noise is described. The method is based …

The authors describe an integrated speech feature extraction method consisting of:(1) a
pitch detector;(2) a voicing decision to correctly partition speech into voiced and unvoiced …

This paper is a contribution to the definition of a new kind of digital signal processing chain.
It is focused on Finite-Impulse-Response filtering (FIR) applied to irregularly sampled …

Speech is easily interfered by external environment in reality, which results in the loss of
important features. Deep learning has become a popular speech enhancement method …

Most reliable methods of detecting pitch in the speech signal are based on the assumed
periodicity found in the voiced speech spectrum (cf. the cepstrum method). Due to recent …

In voiced speech segments, natural noise is the sum of modulation noise due to the
irregularly vibratory patterns of the vocal folds, and additive noise due to the air stream in a …

The present paper is aimed at the development of new methods of fundamental frequency
determination of voiced signal, uttered by patients with severe laryngeal disorders due to …

In this paper, a practical method is proposed for a moving target's fundamental frequency
(MTFF) extraction from its acoustic signal. This method is developed for the application of …

Artificial neural networks theory offers one of many ways to deal with nonlinear nature of
complex real-world signals found in aviation. FIR filters are mostly utilized filters in all areas …