Please use this identifier to cite or link to this item: https://www.um.edu.mt/library/oar/handle/123456789/93987
Title: Use of statistical techniques to analyse significant speech features of the Maltese language
Authors: Galea, Justin (2010)
Keywords: Speech synthesis
Speech processing systems
Human-machine systems
Maltese language
Issue Date: 2010
Citation: Galea, J. (2010). Use of statistical techniques to analyse significant speech features of the Maltese language (Bachelor's dissertation).
Abstract: Mathematical analysis of the Maltese Language has always been limited when compared to other languages. Since the number of regular Maltese speakers world wide probably barely reaches 5OOk, the effort implied in studying Maltese speech was restricted by these numbers. This FYP presents a preliminary attempt to model a section of Maltese speech, namely, segmental (phoneme) duration using a data-driven approach. Duration is possibly the most important prosodic feature that contributes to a clear and natural synthesised speech. This initial duration model is designed to be later on implemented as part of a Maltese Text-to-Speech Synthesis System.
Description: B.SC.(HONS)COMPUTER ENG.
URI: https://www.um.edu.mt/library/oar/handle/123456789/93987
Appears in Collections:Dissertations - FacICT - 2010
Dissertations - FacICTCCE - 1999-2013

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