Problem statement: The main problem with current Malay Text-To-Speech (MTTS) synthesis system is the poor quality of the generated speech sound due to the inability of traditional TTS system to provide multiple choices of unit for generating more accurate synthesized speech. Approach: This study proposes a phonetic context variable length unit selection MTTS system that is capable of providing ...

Speaker independent phonetic Iranscription of fluent speech is performed using an ergodic continuously variable duration hidden Markov model (CVDHMM) to represent the acoustic, phonetic and phonotactic structure of speech. An important property of the model is that each of its fifty-one states is uniquely identified with a single phonetic unit. Thus, for any spoken utterance, a phonetic transcr...

Throughout the past few years it has been shown that Gaussian Mixture Models (GMM) are highly suitable for speaker identification and verification. Nevertheless these models try to represent primarily the distribution of the available training data neglecting any possible phonetic information which might be of worth. In our paper we present a recognition system using multiple speaker GMMs based...

This paper presents a new approach for large vocabulary Arabic speech recognition based on exploiting the morphological structures of the Arabic language. In this model, word discrimination is achieved by a hybrid analysis scheme, where vowels are described in detail while consonants are classifi ed according to broad phonetic classes. Different phonetic classifi cation strategies are used to d...

A working database needs tools to transcribe and label at both phonetic and prosodic levels. While the proposed phonetic transcription system is a simplified from of the International Phonetic Alphabet (IPA) following the SAMPA guidelines; the prosodic labeling system is an elaborated form of the ToBI (Tone and Break Indices) framework adopted for Mandarin. In particular, the proposed prosodic ...

The INESC-ID’s Spoken Language Systems Laboratory (LF) primary system developed for the Spoken Web Search task of the Mediaeval 2013 evaluation campaign consists of the fusion of six individual sub-systems exploiting 3 different language-dependent phonetic classifiers. For each phonetic classifier, an acoustic keyword spotting (AKWS) sub-system based on connectionist speech recognition and a dy...

Purpose: To describe speech disorders in students from 1 to 4 grades, and to investigate possible associations between these disorders and stomatognathic system and auditory processing disorders. Methods: Cross-sectional study with stratified random sample composed of 288 students, calculated based on an universe of 1,189 children enrolled in public schools from the area covered by a health cen...