NaturTtSMLUn esquema de anotación para la mejora de la naturalidad en los sistemas de síntesis de voz

  1. Albert González Lamaña 1
  2. Antonio Pareja Lora 2
  1. 1 Universidad Nacional de Educación a Distancia
    info

    Universidad Nacional de Educación a Distancia

    Madrid, España

    ROR https://ror.org/02msb5n36

  2. 2 Universidad Complutense de Madrid
    info

    Universidad Complutense de Madrid

    Madrid, España

    ROR 02p0gd045

Journal:
E-Aesla

ISSN: 2444-197X

Year of publication: 2018

Issue: 4

Pages: 375-390

Type: Article

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Abstract

Even though the output of current Text-to-Speech (TtS) systems is usually quite comprehensible, this output is quite often too monotonic. One of the main causes for this problem is that a TtS normally cannot actually understand plain text. Thus, the TtS system must be provided with the way to read it, in order to supply a more natural and expressive speech. So far, some annotation languages and schemes have been developed towards this end; however, they are partial and/or focus in different areas of expressive speech. This paper presents an annotation scheme (NaturTtSML) that merges and makes interoperate all of them altogether in just one scheme.

Data source: Dialnet