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Speech therapy in Brazil: Forty years of existence, two decades of recognition
(Karger, 2002-03-01)
The history of speech therapy in Brazil is presented, outlining the creation of the first course, the courses of Master's degree and the current situation, along with the main responsible aspects for it. Copyright (C) 2002 ...
Brazilian Portuguese speech material and its application in occupational audiology
(Decker Periodicals IncHamiltonCanadá, 2001)
MAP speaker adaptation of state duration distributions for speech recognition
(2002)
This paper presents a framework for maximum a posteriori (MAP) speaker adaptation of state duration distributions in hidden Markov models (HMM). Four key issues of MAP estimation, namely analysis and modeling of state ...
Feature optimisation for stress recognition in speech
(Elsevier Science, 2016-07)
Mel-frequency cepstral coefficients introduced biologically-inspired features into speech technology, becoming the most commonly used representation for speech, speaker and emotion recognition, and even for applications ...
Robust and fast vowel recognition using optimum-path forest
(2010-11-08)
The applications of Automatic Vowel Recognition (AVR), which is a sub-part of fundamental importance in most of the speech processing systems, vary from automatic interpretation of spoken language to biometrics. State-of-the-art ...
Feature-dependent compensation of coders in speech recognition
(ELSEVIER, 2006-01)
A solution to the problem of speech recognition with signals corrupted by coders is presented. The coding-decoding distortion is modelled as feature dependent. This model is employed to propose an unsupervised expectatio ...
A brief look at the least-squares approach as a classifier applied to restricted-vocabulary speech recognition
(2012)
In this letter, a speech recognition algorithm based on the least-squares method is presented. Particularly, the intention is to exemplify how such a traditional numerical technique can be applied to solve a signal processing ...
Audio-Visual Automatic Speech Recognition Using PZM, MFCC and Statistical Analysis
Audio-Visual Automatic Speech Recognition (AV-ASR) has become the most promising research area when the audio signal gets corrupted by noise. The main objective of this paper is to select the important and discriminative ...