The objective of this paper is to present the state of-the-art relating to automatic speech and
voice analysis techniques as applied to the monitoring of patients suffering from Alzheimer's …

This work proposes a novel method for the detection of glottal activity regions from the
speech signal. Glottal activity detection refers to the problem of discriminating voiced and …

Ecoacoustics is a new discipline that investigates the ecological role of sounds.
Ecoacoustics is a relevant field of research related to long-term monitoring, habitat health …

In this paper, multi-fractal characteristics of speech signals are analyzed based on MF-DFA,
and it is found that the multi-fractal features are influenced greatly by frame length and noise …

Language entails the scaling of variability across levels of measurement—small linguistic
variations occur at the millisecond level, larger variations occur at the next level, and even …

The automatic speaker verification system is susceptible to replay attacks. Recent literature
has focused on score-level integration of multiple features, phase information-based …

In this paper, we investigated the possibility to classify different performers playing the same
melodies at the same manner being subjectively quite similar and very difficult to distinguish …

Phonetic segmentation plays a key role in developing various speech applications. In this
work, we propose to use various features for automatic phonetic segmentation task for …

The work presented in this paper analyse the stop consonants and vowels in Indian
language from a novel perspective. In the context of many Indian languages, the …

Emotions (like fear, anger, sadness, happiness etc.) are the fundamental features of human
behavior and governs his/her mental health. The subtlety of emotional fluctuations can be …