Title: Artefact Determination by GMM-Based Continuous Detection of Emotional Changes in Synthetic Speech
Authors: Přibil, Jiří
Přibilová, Anna
Matoušek, Jindřich
Citation: PŘIBIL, J., PŘIBILOVÁ, A., MATOUŠEK, J. Artefact Determination by GMM-Based Continuous Detection of Emotional Changes in Synthetic Speech. In: 2019 42nd International Conference on Telecommunications and Signal Processing (TSP). New York: IEEE, 2019. s. 45-48. ISBN 978-1-72811-864-2.
Issue Date: 2019
Publisher: IEEE
Document type: konferenční příspěvek
URI: 2-s2.0-85071069572
ISBN: 978-1-72811-864-2
Keywords in different language: GMM classification;statistical analysis;synthetic speech evaluation;text-to-speech system
Abstract: The paper is focused on a description of a system for automatic detection of speech artefacts based on the Gaussian mixture model (GMM) classifier. The system enables to detect one or more artefacts in synthetic speech produced by a text-to-speech system. Our speech artefact detection uses continual GMM classification of emotional states in 2-D affective space of valence and arousal within the whole sentence and calculates the final change in the evaluated emotions. The detected shift to negative emotions indicates presence of an artefact in the analysed sentence. The basic experiments confirm functionality of the developed system producing results with sufficient correctness of artefact detection. These results are comparable to those attained by a standard listening test method. Additional investigations show relatively great influence of the number of mixtures, the number of used emotional classes, and types of speech features on the evaluated emotional shift.
Rights: Plný text není přístupný.
Appears in Collections:Konferenční příspěvky / Conference Papers (KKY)

Files in This Item:
File SizeFormat 
TSP_2019_Pribil_ArtefactDetermination.pdf189,85 kBAdobe PDFView/Open    Request a copy

Please use this identifier to cite or link to this item: http://hdl.handle.net/11025/36659

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.

  1. DSpace at University of West Bohemia
  2. Publikační činnost / Publications
  3. OBD