TexAFon 2.0: A text processing tool for the generation of expressive speech in TTS applications

Juan María Garrido, Yesika Laplaza, Benjamin Kolz, Miquel Cornudella

Abstract
This paper presents TexAfon 2.0, an improved version of the text processing tool TexAFon, specially oriented to the generation of synthetic speech with expressive content. TexAFon is a text processing module in Catalan and Spanish for TTS systems, which performs all the typical tasks needed for the generation of synthetic speech from text: sentence detection, pre-processing, phonetic transcription, syllabication, prosodic segmentation and stress prediction. These improvements include a new normalisation module for the standardisation on chat text in Spanish, a module for the detection of the expressed emotions in the input text, and a module for the automatic detection of the intended speech acts, which are briefly described in the paper. The results of the evaluations carried out for each module are also presented.
Anthology ID:
L14-1325
Volume:
Proceedings of the Ninth International Conference on Language Resources and Evaluation (LREC'14)
Month:
May
Year:
2014
Address:
Reykjavik, Iceland
Editors:
Nicoletta Calzolari, Khalid Choukri, Thierry Declerck, Hrafn Loftsson, Bente Maegaard, Joseph Mariani, Asuncion Moreno, Jan Odijk, Stelios Piperidis
Venue:
LREC
SIG:
Publisher:
European Language Resources Association (ELRA)
Note:
Pages:
3494–3500
Language:
URL:
http://www.lrec-conf.org/proceedings/lrec2014/pdf/377_Paper.pdf
DOI:
Bibkey:
Cite (ACL):
Juan María Garrido, Yesika Laplaza, Benjamin Kolz, and Miquel Cornudella. 2014. TexAFon 2.0: A text processing tool for the generation of expressive speech in TTS applications. In Proceedings of the Ninth International Conference on Language Resources and Evaluation (LREC'14), pages 3494–3500, Reykjavik, Iceland. European Language Resources Association (ELRA).
Cite (Informal):
TexAFon 2.0: A text processing tool for the generation of expressive speech in TTS applications (Garrido et al., LREC 2014)
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http://www.lrec-conf.org/proceedings/lrec2014/pdf/377_Paper.pdf
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