Endowing machines with sensing capabilities similar to those of humans is a prevalent
quest in engineering and computer science. In the pursuit of making computers sense their …

This is the first of a two-part series devoted to review the current state of the art of automatic
voice condition analysis systems. The goal of this paper is to provide to the scientific …

The automatic recognition of speech, enabling a natural and easy to use method of
communication between human and machine, is an active area of research. Speech …

In hidden Markov model (HMM) based automatic speech recognition (ASR) system,
modeling the statistical relationship between the acoustic speech signal and the HMM states …

With the rapid development of deep neural networks and end-to-end learning techniques,
automatic speech recognition (ASR) systems have been deployed into our daily and assist …

In this paper we study the performance of the low-variance multi-taper Mel-frequency
cepstral coefficient (MFCC) and perceptual linear prediction (PLP) features in a state-of-the …

The analysis of speech of people with Parkinson's disease is an interesting and highly
relevant topic that has attracted the research community during several years. The advances …

Speech is a primary means of human communication and one of the most basic features of
human conduct. Voice is an important part of its subsystems. A speech disorder is a …

For building a successful automatic speech recognition (ASR) engine large training data is
required. It increases training complexity and become impossible for less resource language …

This is the third of a three-part series devoted to review the current state of the art of
automatic voice condition analysis systems. A direct continuation to “On the design of …