Source Modeling Techniques for Quality Enhancement in Statistical Parametric Speech Synthesis

• Κύριοι συγγραφείς: Rao, K. Sreenivasa (Συγγραφέας, http://id.loc.gov/vocabulary/relators/aut), Narendra, N. P. (http://id.loc.gov/vocabulary/relators/aut)
• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: Cham : Springer International Publishing : Imprint: Springer, 2019.
• Έκδοση: 1st ed. 2019.
• Σειρά: SpringerBriefs in Speech Technology, Studies in Speech Signal Processing, Natural Language Understanding, and Machine Learning,
• Θέματα: Signal processing.; Image processing.; Speech processing systems.; Natural language processing (Computer science).; Computational linguistics.; Signal, Image and Speech Processing.; Natural Language Processing (NLP).; Computational Linguistics.

This book presents a statistical parametric speech synthesis (SPSS) framework for developing a speech synthesis system where the desired speech is generated from the parameters of vocal tract and excitation source. Throughout the book, the authors discuss novel source modeling techniques to enhance...