In this paper, we propose a neural network model for predicting the durations of syllables. A
four layer feedforward neural network trained with backpropagation algorithm is used for …

This paper discusses the application of neural networks for develo** different speech
systems. Prosodic parameters of speech at syllable level depend on positional, contextual …

This paper presents a segmental durations' model applied to the European Portuguese
language for TTS purposes. The model is based on a feed-forward neural network, trained …

Suprasegmental (prosody) features of discourse provide a vehicle by which speakers reflect
their mental purposes to listeners. Generating suitable prosody information is critical to …

In this chapter we discuss modeling of supra-segmental features (intonation and duration) of
syllables, and suggest some applications of these models. These supra-segmental features …

In generating natural speech by machines, removing the suprasegmental information (such
as stress, timing and pitch frequency) results in unpleasant speech. To provide this …

This study aims to obtain detailed acoustic knowledge of how speech is modulated when a
speakerâ?? s emotion changes from neutral to certain emotional states based on …

The results of two alternative models to predict segmental durations in speech synthesis,
both based on Artificial Neural Networks (ANNs) are discussed. The ANN model consists in …

In this paper, we investigate the usage of a continuous representation based approach of
the feature vector derived from input text to predict the phone durations in a Text to Speech …

In this paper we present a condensed description of a European Portuguese segmental
duration's model for TTS purposes and concentrate on its evaluation. This model is based …