This paper analyses the performance of a large bunch of pitch detection algorithms on clean
and noisy speech data. Two sets of noisy speech data are considered. One corresponds to …

This paper presents an efficient approach for automatic speaker identification based on
cepstral features and the Normalized Pitch Frequency (NPF). Most relevant speaker …

Most research on drone detection and classification focus on using features from micro-
Doppler signatures with blade flashes. However, these methods are limited in range and …

The pitch period as an essential feature is used in various speech-related works. Most actual
projects collect speech signals in complex noise environments. Thus, the noise resistance of …

Digital multimedia security has taken a very important position with the developing
technology. Detecting forgeries in audio signals is one of the most challenging application in …

Collaborative group tasks require efficient and productive verbal and non-verbal interactions
among the participants. Studying such interaction patterns could help groups perform more …

The current pronunciation scoring based on Goodness of Pronunciation (GOP) uses
posterior probabilities of the Acoustic Models. Such algorithms suffer from generalization …

Voice conversion (VC) is a task that transforms voice from target audio to source without
losing linguistic contents, it is challenging especially when source and target speakers are …

With the advancement digitalization, the issue of digital multimedia security has become one
of the essential research areas. Digital multimedia security includes the analysis and …

Laryngeal videostroboscopy is an audio-mediated imaging technique allowing the
visualization of vocal fold oscillation behavior: the audio signal is used to determine the …