Text classification often faces the problem of imbalanced training data. This is true in
sentiment analysis and particularly prominent in emotion classification where multiple …

A fault diagnostics system of three-phase induction motors was implemented. The
implemented system was based on acoustic signals of three-phase induction motors. A …

We propose a hybrid network-based learning framework for speaker-adaptive vocal emotion
conversion, tested on three different datasets (languages), namely, EmoDB (German) …

The modeling and implementation of sophisticated multimodal software/hardware interfaces
is a current scientific challenge of high societal relevance. The main characteristics entailed …

Emotional voice conversion systems are used to formulate mapping functions to transform
the neutral speech from output of text-to-speech systems to that of target emotion …

The paper describes an experiment with using the Gaussian mixture models (GMM) for
automatic classification of the speaker age and gender. It analyses and compares the …

Expressive speech can be synthesized using acoustic feature modeling by mapping the
spectral and fundamental frequency parameters between neutral speech and target …

Two basic tasks are covered in this paper. The first one consists in the design and practical
testing of a new method for voice de-identification that changes the apparent age and/or …

Vocal emotion conversion forms a significant post-processing step in text-to-speech
synthesis. The existing models in emotion conversion are data intensive and …

The paper describes an application of the classifier based on the Gaussian mixture models
(GMM) for reverse identification of the original speaker from the emotionally transformed …