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Towards Solving the Social Science Challenges with Computing Methods

Edited By Biljana Mileva Boshkoska

Computational Social Science is an interdisciplinary field where social science questions are investigated with modern computational tools. The book provides insight into different social problems and calls for new practices offered by computational social science, discussing methods for efficient management of complex engineering design, cybersecurity and the prediction of malicious threads of information systems. It is also a study of awareness of privacy in social networks, prosodic modelling for speech synthesis, the structure of co-occurrence networks and cloud applications. The authors propose an extension of synergy models in IMC environment to n-communication channels, and identification and evaluation of knowledge management through information system analysis.
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Prosodic Modelling for Croatian Speech Synthesis

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Abstract: In order to include prosody into text to speech systems (TTS), prosody knowledge needs to be acquired, represented and incorporated. Two main features of prosody important for modelling prosody for TTS systems are duration and F0 contour. There are various approaches to modelling those features and they can be categorized into three main groups: rule based, statistical and minimalistic. Some of the best known approaches to duration acquiring are Klatt’s model, classification and regression trees and neural networks and to F0 modelling TOBI, Fujisaki and Tilt. A procedure for automatic intonation event detection on Croatian texts based on the Tilt model was evaluated in terms of Root Mean Square Error values for generated F0 contours.

Keywords: prosody modelling, speech synthesis, TTS, duration models, F0 contour models, prosodic characteristics of Croatian

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