000 03993nam a22005655i 4500
001 978-3-030-02759-9
003 DE-He213
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008 181213s2019 sz | s |||| 0|eng d
020 _a9783030027599
_9978-3-030-02759-9
024 7 _a10.1007/978-3-030-02759-9
_2doi
050 4 _aTK5102.9
072 7 _aTJF
_2bicssc
072 7 _aUYS
_2bicssc
072 7 _aTEC008000
_2bisacsh
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_2thema
072 7 _aUYS
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082 0 4 _a621.382
_223
100 1 _aRao, K. Sreenivasa.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_932767
245 1 0 _aSource Modeling Techniques for Quality Enhancement in Statistical Parametric Speech Synthesis
_h[electronic resource] /
_cby K. Sreenivasa Rao, N. P. Narendra.
250 _a1st ed. 2019.
264 1 _aCham :
_bSpringer International Publishing :
_bImprint: Springer,
_c2019.
300 _aXII, 136 p. 74 illus., 11 illus. in color.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aSpringerBriefs in Speech Technology, Studies in Speech Signal Processing, Natural Language Understanding, and Machine Learning,
_x2191-7388
505 0 _aChapter 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.
520 _aThis 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 the naturalness and overall intelligibility of the SPSS system. This book provides several important methods and models for generating the excitation source parameters for enhancing the overall quality of synthesized speech. The contents of the book are useful for both researchers and system developers. For researchers, the book is useful for knowing the current state-of-the-art excitation source models for SPSS and further refining the source models to incorporate the realistic semantics present in the text. For system developers, the book is useful to integrate the sophisticated excitation source models mentioned to the latest models of mobile/smart phones. Presents the efficient excitation source modeling techniques for generating high quality speech; Includes a combination of both waveform and parametric methods to enhance the quality of synthesis; Features and methods that need less memory and computational requirements than others, allowing them to be integrated to smart phones and smaller devices.
650 0 _aSignal processing.
_94052
650 0 _aNatural language processing (Computer science).
_94741
650 0 _aComputational linguistics.
_96146
650 1 4 _aSignal, Speech and Image Processing .
_931566
650 2 4 _aNatural Language Processing (NLP).
_931587
650 2 4 _aComputational Linguistics.
_96146
700 1 _aNarendra, N. P.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_932768
710 2 _aSpringerLink (Online service)
_932769
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9783030027582
776 0 8 _iPrinted edition:
_z9783030027605
830 0 _aSpringerBriefs in Speech Technology, Studies in Speech Signal Processing, Natural Language Understanding, and Machine Learning,
_x2191-7388
_932770
856 4 0 _uhttps://doi.org/10.1007/978-3-030-02759-9
912 _aZDB-2-ENG
912 _aZDB-2-SXE
942 _cEBK
999 _c75307
_d75307