This paper describes a method for speech feature extraction using morphological signal
processing based on the so-called “slope transformation”. The proposed approach has been …

This paper describes a method for speech feature extraction using morphological signal
processing based on the so-called" slope transformation". The proposed approach has been …

This paper presents a new speech feature extraction technique for use in automatic speech
recognition (ASR). The technique is based on a new two-dimensional series expansion that …

Spectra is usually shown as a two-dimensional graph where colors are directly related to
signal levels. A great deal of speech recognition work and research takes this type of …

The properties and applications of morphological filters for speech analysis are investigated.
We introduce and investigate a novel nonlinear spectral envelope estimation method based …

Automatic speech recognition (ASR) has made great strides with the development of digital
signal processing hardware and software. But despite of all these advances, machines can …

Summary form only given, as follows. Firstly, the basic principles of automatic recognition of
speech are reviewed. The acoustic analysis module is focused on in greater detail and …

Automatic speech recognition (ASR) has made great strides with the development of digital
signal processing hardware and software. But despite of all these advances, machines can …

Deconvolution of the speech excitation (source) and vocal tract (filter) components through
log-magnitude spectral processing is well-established and has led to the well-known …

A new method for speech analysis is described. It is based on extremes finding in the
magnitude spectrum of a speech frame followed by interpolation. The interpolated spectrum …