Automatic segmentation quality improvement for realization of unit selection speech synthesis

Autor:	M. Wojtowski, Krzysztof Szklanny
Rok vydání:	2008
Předmět:	Quality management Computer science Speech recognition media_common.quotation_subject Process (computing) Realization (linguistics) Speech synthesis Zero crossing computer.software_genre Outlier Quality (business) Hidden Markov model computer media_common
Zdroj:	2008 Conference on Human System Interactions.
DOI:	10.1109/hsi.2008.4581443
Popis:	This paper reports progress in the process of improving automatic segmentation. To help achieve natural sounding speech synthesis not only construction of rich database is important but also precise alignment must be conducted. Process of automatic segmentation often causes errors that needs to be corrected. Manual correction doesnpsilat guarantee that the process will be carried out consistently. Script for finding outliers was constructed and only necessary manual correction was prepared. Then a praat script was realized which allowed to detect and remove most important errors in automatic segmentation. Zero crossing process was applied to each phoneme. Additionally a comparison in prototype speech synthesizer was performed. The results shows that quality of generated speech has significantly increased.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::f85d0110eb4c6eddb4c20b3e90497bb6 https://doi.org/10.1109/hsi.2008.4581443 Zobrazit plný text záznamu