Skip to main content
SpringerLink
Log in
Book cover

Source Modeling Techniques for Quality Enhancement in Statistical Parametric Speech Synthesis pp 125–129Cite as

Summary and Conclusions

  • Chapter
  • First Online:

  • 310 Accesses

Part of the book series: SpringerBriefs in Speech Technology ((BRIEFSSPEECHTECH))

Abstract

This chapter summarizes the overall topics addressed in this book. Major contributions of the present work and some directions for future work are also briefed on this chapter.

This is a preview of subscription content, log in via an institution.

Chapter
USD   29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD   39.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD   54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Learn about institutional subscriptions

References

  1. N.P. Narendra, K. Sreenivasa Rao, Robust voicing detection and F0 estimation for HMM-based speech synthesis. Circuits Syst. Signal Process. 34(8), 2597–2619 (2015)

    Article  Google Scholar 

  2. N.P. Narendra, K. Sreenivasa Rao, Parameterization of excitation signal for improving the quality of HMM-based speech synthesis system. Circuits Syst. Signal Process. 36(9), 3650–3673 (2017)

    Article  Google Scholar 

  3. N.P. Narendra, K. Sreenivasa Rao, Time-domain deterministic plus noise model based hybrid source modeling for statistical parametric speech synthesis. Speech Commun. 77, 65–83 (2016)

    Article  Google Scholar 

  4. N.P. Narendra, K. Sreenivasa Rao, Generation of creaky voice for improving the quality of HMM-based speech synthesis. Comput. Speech Lang. 42, 38–58 (2017)

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Department of Computer Science and Engineering, Indian Institute of Technology Kharagpur, Kharagpur, West Bengal, India

    K. Sreenivasa Rao

  2. Aalto University, Espoo, Finland

    N. P. Narendra

Authors
  1. K. Sreenivasa Rao
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. N. P. Narendra
    View author publications

    You can also search for this author in PubMed Google Scholar

Rights and permissions

Reprints and permissions

Copyright information

© 2019 The Author(s), under exclusive licence to Springer Nature Switzerland AG

About this chapter

Check for updates. Verify currency and authenticity via CrossMark

Cite this chapter

Rao, K.S., Narendra, N.P. (2019). Summary and Conclusions. In: Source Modeling Techniques for Quality Enhancement in Statistical Parametric Speech Synthesis. SpringerBriefs in Speech Technology. Springer, Cham. https://doi.org/10.1007/978-3-030-02759-9_7

Download citation

  • DOI: https://doi.org/10.1007/978-3-030-02759-9_7

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-02758-2

  • Online ISBN: 978-3-030-02759-9

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics

Search

Navigation