Skip to main content

Mel-Frequency Cepstral and Linear Predictive Coefficients

  • Chapter
Sound Analysis and Synthesis with R

Part of the book series: Use R! ((USE R))

Abstract

Mel-frequency cepstral coefficients (MFCCs) and linear predictive coefficients (LPCs) are features used to describe sound according to time, frequency, and amplitude. These techniques, which are mainly used in speech analysis, are reviewed step by step for a good understanding and practice.

Audio files:hello.wav

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

Access this chapter

eBook
USD 16.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 84.99
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

Institutional subscriptions

References

  • Cryer JD, Chan KS (2008) Time series analysis with applications in R. Springer, New York

    MATH  Google Scholar 

  • Davis SB, Mermelstein P (1980) Comparison of parametric representations for monosyllabic word recognition in continuously spoken sentences. IEEE Trans Acoust Speech Signal Process 28:357–366

    Article  Google Scholar 

  • Sharan VR, Moir TJ (2016) An overview of applications and advancements in automatic sound recognition. Neurocomputing 200:22–34

    Article  Google Scholar 

  • Snell RC, Milinazzo F (1993) Formant location from LPC analysis data. IEEE Trans Speech Audio Process 1:129–134

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Rights and permissions

Reprints and permissions

Copyright information

© 2018 Springer International Publishing AG, part of Springer Nature

About this chapter

Cite this chapter

Sueur, J. (2018). Mel-Frequency Cepstral and Linear Predictive Coefficients. In: Sound Analysis and Synthesis with R. Use R!. Springer, Cham. https://doi.org/10.1007/978-3-319-77647-7_12

Download citation

Publish with us

Policies and ethics