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 on artificial neural networks. The evaluation of the model quality was made by comparison with read speech. The standard deviation reached in test set is 19.5 ms and the linear correlation coefficient is 0.84. The model is perceptually evaluated with 4.12 against 4.30 for natural human read speech in a scale of 5
This paper proposes a new method that determines segmental duration for text-to-speech conversion ba...
Naturalness of synthetic speech highly depends on appropriate modeling of prosodic aspects. Mostly, ...
In this paper, we investigate the possibilities to enhance statistic modelling of segment duration...
This paper presents a segmental durations’ model applied to the European Portuguese language for TTS...
This paper presents a segmental duration model, that, as far as the authors know, is the first publi...
Abstract: We are going to show the application of neural networks in one of the critical modules of ...
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 objective of this paper is the accurate prediction of segmental duration in a Spanish text-to-sp...
In this paper we model the segmental duration of Spanish spoken in Buenos Aires, considering its app...
The Phoneme Dedicated Artificial Neural Network (PDANN) segmental duration model consists of a set o...
This PhD thesis presents the development of a prosody system for European Portuguese (EP) for text-t...
Text-to-Speech (TTS) synthesis can be regarded as the automatic transformation of sentences from the...
Naturalness of synthetic speech highly depends on appropriate modelling of prosodic aspects. Mostly,...
AbstractThe main criterion in duration modeling is to model the duration pattern of the natural spee...
This paper proposes a new method that determines segmental duration for text-to-speech conversion ba...
Naturalness of synthetic speech highly depends on appropriate modeling of prosodic aspects. Mostly, ...
In this paper, we investigate the possibilities to enhance statistic modelling of segment duration...
This paper presents a segmental durations’ model applied to the European Portuguese language for TTS...
This paper presents a segmental duration model, that, as far as the authors know, is the first publi...
Abstract: We are going to show the application of neural networks in one of the critical modules of ...
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 objective of this paper is the accurate prediction of segmental duration in a Spanish text-to-sp...
In this paper we model the segmental duration of Spanish spoken in Buenos Aires, considering its app...
The Phoneme Dedicated Artificial Neural Network (PDANN) segmental duration model consists of a set o...
This PhD thesis presents the development of a prosody system for European Portuguese (EP) for text-t...
Text-to-Speech (TTS) synthesis can be regarded as the automatic transformation of sentences from the...
Naturalness of synthetic speech highly depends on appropriate modelling of prosodic aspects. Mostly,...
AbstractThe main criterion in duration modeling is to model the duration pattern of the natural spee...
This paper proposes a new method that determines segmental duration for text-to-speech conversion ba...
Naturalness of synthetic speech highly depends on appropriate modeling of prosodic aspects. Mostly, ...
In this paper, we investigate the possibilities to enhance statistic modelling of segment duration...