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seewave  

Sound Analysis and Synthesis
View on CRAN: Click here


Download and install seewave package within the R console
Install from CRAN:
install.packages("seewave")

Install from Github:
library("remotes")
install_github("cran/seewave")

Install by package version:
library("remotes")
install_version("seewave", "2.2.3")



Attach the package and use:
library("seewave")
Maintained by
Jerome Sueur
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2006-03-10
Latest Update: 2023-10-19
Description:
Functions for analysing, manipulating, displaying, editing and synthesizing time waves (particularly sound). This package processes time analysis (oscillograms and envelopes), spectral content, resonance quality factor, entropy, cross correlation and autocorrelation, zero-crossing, dominant frequency, analytic signal, frequency coherence, 2D and 3D spectrograms and many other analyses. See Sueur et al. (2008) and Sueur (2018) .
How to cite:
Jerome Sueur (2006). seewave: Sound Analysis and Synthesis. R package version 2.2.3, https://cran.r-project.org/web/packages/seewave. Accessed 21 Nov. 2024.
Previous versions and publish date:
1.0 (2006-03-10 15:24), 1.1 (2006-04-20 13:42), 1.2 (2006-06-13 10:54), 1.3 (2006-10-09 20:49), 1.4.1 (2007-01-05 14:19), 1.4.2 (2007-02-20 10:17), 1.4.3 (2007-07-19 14:07), 1.4.4 (2007-10-19 12:39), 1.4.5 (2007-12-02 10:46), 1.4.6 (2008-01-16 13:33), 1.4.7 (2008-02-25 20:51), 1.4.8 (2008-04-14 20:16), 1.4.9 (2008-09-19 08:58), 1.4 (2006-12-21 13:08), 1.5.0 (2008-09-28 21:32), 1.5.1 (2008-12-17 18:24), 1.5.2 (2009-01-03 19:11), 1.5.4 (2009-03-27 11:44), 1.5.5 (2009-06-26 19:53), 1.5.6 (2009-11-13 15:37), 1.5.7 (2010-03-15 16:51), 1.5.8 (2010-06-15 16:33), 1.5.9 (2010-09-01 19:53), 1.6.0 (2011-05-02 13:25), 1.6.1 (2011-08-31 06:20), 1.6.2 (2012-04-03 09:32), 1.6.3 (2012-04-11 15:38), 1.6.4 (2012-06-28 16:11), 1.6.5 (2012-12-12 17:25), 1.6.7 (2013-04-09 16:57), 1.7.0 (2013-07-12 16:54), 1.7.2 (2013-08-30 10:54), 1.7.3 (2014-01-27 12:11), 1.7.6 (2014-09-12 16:39), 2.0.1 (2015-07-08 13:22), 2.0.2 (2015-07-28 12:02), 2.0.4 (2016-07-11 19:12), 2.0.5 (2016-10-13 00:18), 2.1.0 (2018-03-02 17:49), 2.1.3 (2019-03-30 15:30), 2.1.4 (2019-07-29 09:50), 2.1.5 (2019-12-06 19:30), 2.1.6 (2020-05-28 16:30), 2.1.8 (2021-07-14 15:00), 2.2.0 (2022-03-04 12:40), 2.2.1 (2023-07-16 07:50), 2.2.2 (2023-10-01 09:40)
Other packages that cited seewave R package
View seewave citation profile
Other R packages that seewave depends, imports, suggests or enhances
Complete documentation for seewave
Functions, R codes and Examples using the seewave R package
Some associated functions: ACI . AR . H . M . NDSI . Q . SAX . TFSD . TKEO . acoustat . addsilw . afilter . akamatsu . ama . attenuation . audiomoth . audiomoth.rename . autoc . beep . bwfilter . ccoh . ceps . cepstro . coh . combfilter . convSPL . corenv . corspec . covspectro . crest . csh . cutspec . cutw . dBscale . dBweight . deletew . dfreq . diffcumspec . diffenv . diffspec . diffwave . discrets . drawenv . drawfilter . duration . dynoscillo . dynspec . dynspectro . echo . env . export . fadew . fbands . fdoppler . ffilter . field . fir . fma . fpeaks . ftwindow . fund . gammatone . ggspectro . hilbert . ifreq . istft . itakura.dist . kl.dist . ks.dist . lfs . listen . localpeaks . logspec.dist . lts . meandB . meanspec . mel . melfilterbank . micsens . moredB . mutew . noisew . notefreq . octaves . orni . oscillo . oscilloEQ . oscilloST . pastew . peewit . pellucens . phaseplot . phaseplot2 . playlist . preemphasis . pulsew . read.audacity . repw . resamp . revw . rmam . rmnoise . rmoffset . rms . roughness . rugo . savewav . scd . sddB . seedata . seewave.internal . seewave.package . setenv . sfm . sh . sheep . simspec . smoothw . songmeter . songmeterdiag . soundscapespec . sox . spec . specflux . specprop . spectro . spectro3D . squarefilter . symba . synth . synth2 . th . tico . timelapse . timer . wasp . wav2dBSPL . wav2flac . wav2leq . wf . write.audacity . zapsilw . zc . zcr . 
Some associated R codes: Full seewave package functions and examples
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