Entropy (H) is the main subject of this article, concisely written to serve as a tutorial
introducing two feature extraction (FE) methods for usage in digital signal processing (DSP) …

Concealing speaker identity in speech signals refers to the task of speaker de-identification,
which helps protect the privacy of a speaker. Although, both linguistic and paralinguistic …

Speech production variability introduces significant challenges for existing speech
technologies such as speaker identification (SID), speaker diarization, speech recognition …

Time-continuous dimensional descriptions of emotions (eg, arousal, valence) allow
researchers to characterize short-time changes and to capture long-term trends in emotion …

DTW calculates the similarity or alignment between two signals, subject to temporal war**.
However, its computational complexity grows exponentially with the number of time-series …

This paper proposes the use of a new binary decision tree, which we call a soft decision
tree, to improve generalization performance compared to the conventional 'hard'decision …

Recent advancements in machine learning and artificial intelligence have significantly
impacted the way humans interact with machines. Voice assistant based solutions are …

eil Khorram partment of ses an innovativ corporated in a HMM)-based sp refers to the f
rrelated. The p sian potential fu es in a latent s meter estimation ugh the Broyde zing output …

This article proposes a method to improve the performance of deterministic plus stochastic
model (DSM-) based feature extraction by integrating the contextual information. One …