Add to ORKGThe 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 just one ANN trained to predict the segmental durations for all phonemes. The phoneme dedicated ANN model consists in a set of ANNs, each one dedicated to predict the segmental duration of a specific phoneme. Both models are compared with the same input information extracted from one European Portuguese database. Objective and subjective measurements of performance of both approaches are compared. A slight preference was denoted for the phoneme dedicated ANN model. 1
Naturalness of synthetic speech highly depends on appropriate modeling of prosodic aspects. Mostly, ...
In this paper, a neural learning approach is investigated, which is designed to generate duration pa...
International audienceDuration modeling is a key task for every parametric speech synthesis system. ...
The results of two alternative models to predict segmental durations in speech synthesis, both based...
The results of two alternative models to predict segmental durations in speech synthesis, both based...
The Phoneme Dedicated Artificial Neural Network (PDANN) segmental duration model consists of a set o...
Abstract: We are going to show the application of neural networks in one of the critical modules of ...
This paper presents a segmental durations’ model applied to the European Portuguese language for TTS...
In this paper we model the segmental duration of Spanish spoken in Buenos Aires, considering its app...
This paper presents a segmental duration model, that, as far as the authors know, is the first publi...
The objective of this paper is the accurate prediction of segmental duration in a Spanish text-to-sp...
Acoustic analysis and synthesis experiments have shown that duration and intonation patterns are the...
In this paper, we propose a neural network model for predicting the durations of syllables. A four l...
Naturalness of synthetic speech highly depends on appropriate modelling of prosodic aspects. Mostly,...
In this paper we present a condensed description of a European Portuguese segmental duration’s model...
Naturalness of synthetic speech highly depends on appropriate modeling of prosodic aspects. Mostly, ...
In this paper, a neural learning approach is investigated, which is designed to generate duration pa...
International audienceDuration modeling is a key task for every parametric speech synthesis system. ...
The results of two alternative models to predict segmental durations in speech synthesis, both based...
The results of two alternative models to predict segmental durations in speech synthesis, both based...
The Phoneme Dedicated Artificial Neural Network (PDANN) segmental duration model consists of a set o...
Abstract: We are going to show the application of neural networks in one of the critical modules of ...
This paper presents a segmental durations’ model applied to the European Portuguese language for TTS...
In this paper we model the segmental duration of Spanish spoken in Buenos Aires, considering its app...
This paper presents a segmental duration model, that, as far as the authors know, is the first publi...
The objective of this paper is the accurate prediction of segmental duration in a Spanish text-to-sp...
Acoustic analysis and synthesis experiments have shown that duration and intonation patterns are the...
In this paper, we propose a neural network model for predicting the durations of syllables. A four l...
Naturalness of synthetic speech highly depends on appropriate modelling of prosodic aspects. Mostly,...
In this paper we present a condensed description of a European Portuguese segmental duration’s model...
Naturalness of synthetic speech highly depends on appropriate modeling of prosodic aspects. Mostly, ...
In this paper, a neural learning approach is investigated, which is designed to generate duration pa...
International audienceDuration modeling is a key task for every parametric speech synthesis system. ...