Learn R Programming

⚠️There's a newer version (2.2.3) of this package.Take me there.

seewave (version 1.6.4)

Time wave analysis and graphical representation

Description

seewave provides 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.

Copy Link

Version

Install

install.packages('seewave')

Monthly Downloads

3,671

Version

1.6.4

License

GPL (>= 2)

Maintainer

Jerome Sueur

Last Published

June 28th, 2012

Functions in seewave (1.6.4)

Amplitude filter

Amplitude modulation analysis of a time wave

Add or insert a silence section

Generate sound intensity attenuation data

Continuous coherence function between two time waves

Cepstrum or real cepstrum

Coherence between two time waves

Convert sound pressure level in other units

Cross-correlation between two frequency spectra

2D-cepstrogram of a time wave

Crest factor and visualization

Cut a frequency spectrum

Continuous spectral entropy

Cut a section of a time wave

dB colour scale for a spectrogram display

Dominant frequency of a time wave

Delete a section of a time wave

Difference between two amplitude envelopes

Difference between two frequency spectra

Time series discretisation

Draw the amplitude envelope of a time wave

Dynamic oscillogram

Amplitude envelope of a time wave

Difference between two time waves

Export sound data

Dynamic sliding spectrum

Resonance quality factor of a frequency spectrum

Finite Impulse Response filter

Frequency bands plot

Near field and far field limits

Frequency modulation analysis

Fade in and fade out of a time wave

Frequency peak detection

Hilbert transform and analytic signal

Kullback-Leibler distance

Frequency filter

Linear Frequency Shift

Fundamental frequency track

Instantaneous frequency

Play a sound wave

Kolmogorov-Smirnov distance

Local maximum frequency peak detection

Short-term autocorrelation of a time wave

Itakuro-Saito distance

Mean frequency spectrum of a time wave

Covariance between two spectrograms

mean of dB values

Fourier transform windows

Addition of dB values

Hertz / Mel conversion

Log-spectral distance

Microphone sensitivity and conversion

Replace time wave data by 0 values

Paste a time wave to another one

Song of the bird Vanellus vanellus

Show a stereo time wave as oscillograms

Show a time wave as an oscillogram

Song of the cicada Cicada orni

Phase-phase 2D or 3D plot of a time wave

Repeat a time wave

Calling song of the tree cricket Oecanthus pellucens

Resample a time wave

Time reverse of a time wave

Roughness or total curvature

Root Mean Square

Remove the amplitude modulations of a time wave

Rugosity of a time wave

Remove the offset of a time wave

seewave-internal

Internal Seewave Functions

Save a .wav file

A quick look at quantitative data

Set the amplitude envelope of a time wave to another one

Generate rectangle pulse

Shannon and Renyi spectral entropy

Similarity between two frequency spectra

Time wave analysis and graphical representation

Spectral Flatness Measure

A function to tentavily smooth a time wave

Spectral properties

Frequency spectrum of a time wave

Frequency of a muscical note

3D-spectrogram of a time wave

2D-spectrogram of a time wave

Symbol analysis of a numeric (time) series

Temporal entropy

WAve length and SPeed of sound

Waterfall display

Synthesis of time wave

Instantaneous frequency of a time wave by zero-crossing

wav-flac file conversion

Zap silence periods of a time wave

Short-term Fourier transform using fftw and libsndfile C libraries

Time measurements of a time wave

Song of the bird Zonotrichia capensis

Cross-correlation between two time wave envelopes