The Mel-Frequency Cepstral Coefficients (MFCC) feature extraction method is a leading
approach for speech feature extraction and current research aims to identify performance …

Depression is one of the leading forms of mental health issues encountered by individuals of
diverse age groups today worldwide. Like any other mental health concerns, depression too …

This work proposes methods for detecting vowel-like regions (VLRs) and non-vowel-like
regions (non-VLRs) using excitation source information. The VLR onset and end points are …

In this paper, we investigate the combination of complementary acoustic feature streams in
large-vocabulary continuous speech recognition (LVCSR). We have explored the use of …

Wireless sensor networks are suitable to gain context awareness for indoor environments.
As sound waves form a rich source of context information, equip** the nodes with …

Robust fundamental frequency estimation in adverse conditions is important in various
speech processing applications. In this paper a new pitch detection algorithm (PDA) based …

Speech signal is redundant and non-stationary by nature. Because of vocal tract inertness
these variations are not very rapid and the signal can be considered as stationary in short …

In this paper, an information theoretic approach to selecting feature frames for speaker
recognition systems is proposed. A conventional approach in which the frame shift is fixed to …

Researchers have been using signal processing based methods to assess speech from
Parkinson's disease (PD) patients and identify the contrasting features in comparison to …

NEW METHODOLOGY FOR THE INTEGRATION OF BIOMETRIC FEATURES IN SPEAKER
RECOGNITION SYSTEMS APPLIED TO SECURITY ENVIRONMENTS DOCTOR Page 1 …