Source Modeling Techniques for Quality Enhancement in Statistical Parametric Speech Synthesis

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...

Πλήρης περιγραφή

Λεπτομέρειες βιβλιογραφικής εγγραφής
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.
Διαθέσιμο Online:	Full Text via HEAL-Link

Πίνακας περιεχομένων:

Chapter 1. Introduction
Chapter 2. Background and literature review
Chapter 3. Robust voicing detection and F0 estimation method
Chapter 4. Parametric approach of modeling the source signal
Chapter 5. Hybrid approach of modeling the source signal
Chapter 6. Generation of creaky voice
Chapter 7. Summary and conclusions.

Source Modeling Techniques for Quality Enhancement in Statistical Parametric Speech Synthesis

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