Este artículo presenta un estudio comparado de varios métodos de predicción de pausas, usando el mismo corpus etiquetado. Algunos métodos propuestos por otras publicaciones sobre el tema son probados, combinando algunas técnicas previas para aprovechar sus principales ventajas. Un nuevo método es propuesto modelando explícitamente la función densidad de probabilidad de la distancia entre pausas. Los resultados muestran que las técnicas basadas en datos ofrecen muy buenos resultados.This article presents a comparative study of several methods of phrase break prediction, using the same labeled corpora. Some previous methods proposed in the literature are tested, mixing techniques to take advantage of their benefits. It is proposed an ...
The automatic prosodic annotation of large speech corpora gains increasing consideration since appro...
We address the problem of predicting pauses between the words in a sentence, which is of considerabl...
Prosodic breaks prediction from text is a fundamental task to obtain naturalness in text to speech a...
This article presents a comparative study of several methods of phrase break prediction, using the s...
Este artículo presenta un estudio comparado de varios métodos de predicción de pausas, usando el mis...
Determining the position of breaks in a sentence is a key task for a text-to-speech system. A synthe...
The goal of automatic phrase break prediction is to emulate human performance in terms of naturalnes...
It is universally recognised that humans process speech and language in chunks, each meaningful in i...
It is universally recognized that humans process speech and language in chunks, each meaningful in i...
This paper describes a variety of methods for inserting phrase boundaries in text. The methods work ...
This paper reports on the evaluation of automatic prosodic phrase break assignment. We utilize two t...
This paper describes a variety of methods for inserting phrase boundaries in text. The methods work ...
The relation between symbolic and signal features of prosodic boundaries is experimentally studied ...
Improvements on Phrase Breaks Prediction Using CRF (Conditional Random Fields)Byeongchang Kim, Seung...
One of the important stages in the process of turning unmarked text into speech is the assignment o...
The automatic prosodic annotation of large speech corpora gains increasing consideration since appro...
We address the problem of predicting pauses between the words in a sentence, which is of considerabl...
Prosodic breaks prediction from text is a fundamental task to obtain naturalness in text to speech a...
This article presents a comparative study of several methods of phrase break prediction, using the s...
Este artículo presenta un estudio comparado de varios métodos de predicción de pausas, usando el mis...
Determining the position of breaks in a sentence is a key task for a text-to-speech system. A synthe...
The goal of automatic phrase break prediction is to emulate human performance in terms of naturalnes...
It is universally recognised that humans process speech and language in chunks, each meaningful in i...
It is universally recognized that humans process speech and language in chunks, each meaningful in i...
This paper describes a variety of methods for inserting phrase boundaries in text. The methods work ...
This paper reports on the evaluation of automatic prosodic phrase break assignment. We utilize two t...
This paper describes a variety of methods for inserting phrase boundaries in text. The methods work ...
The relation between symbolic and signal features of prosodic boundaries is experimentally studied ...
Improvements on Phrase Breaks Prediction Using CRF (Conditional Random Fields)Byeongchang Kim, Seung...
One of the important stages in the process of turning unmarked text into speech is the assignment o...
The automatic prosodic annotation of large speech corpora gains increasing consideration since appro...
We address the problem of predicting pauses between the words in a sentence, which is of considerabl...
Prosodic breaks prediction from text is a fundamental task to obtain naturalness in text to speech a...