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2018 | OriginalPaper | Chapter

12. Mel-Frequency Cepstral and Linear Predictive Coefficients

Author : Jérôme Sueur

Published in: Sound Analysis and Synthesis with R

Publisher: Springer International Publishing

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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.
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previous chapter Spectrographic Visualization
next chapter Frequency and Energy Tracking
Literature
Cryer JD, Chan KS (2008) Time series analysis with applications in R. Springer, New YorkMATH
Davis SB, Mermelstein P (1980) Comparison of parametric representations for monosyllabic word recognition in continuously spoken sentences. IEEE Trans Acoust Speech Signal Process 28:357–366CrossRef
Sharan VR, Moir TJ (2016) An overview of applications and advancements in automatic sound recognition. Neurocomputing 200:22–34CrossRef
Snell RC, Milinazzo F (1993) Formant location from LPC analysis data. IEEE Trans Speech Audio Process 1:129–134CrossRef
Metadata
Title
Mel-Frequency Cepstral and Linear Predictive Coefficients
Author
Jérôme Sueur
Copyright Year
2018
Publisher
Springer International Publishing
Book
Sound Analysis and Synthesis with R

Print ISBN: 978-3-319-77645-3

Electronic ISBN: 978-3-319-77647-7

Copyright Year: 2018

DOI
https://doi.org/10.1007/978-3-319-77647-7_12

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