Learn R Programming

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

seewave (version 1.6.1)

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

3,000

Version

1.6.1

License

GPL (>= 2)

Maintainer

Jerome Sueur

Last Published

August 31st, 2011

Functions in seewave (1.6.1)

Amplitude modulation analysis of a time wave

Resonance quality factor of a frequency spectrum

Amplitude filter

Add or insert a silence section

Continuous coherence function between two time waves

Generate sound intensity attenuation data

2D-cepstrogram of a time wave

Cepstrum or real cepstrum

Convert sound pressure level in other units

Coherence between two time waves

Covariance between two spectrograms

Cross-correlation between two frequency spectra

Cross-correlation between two time wave envelopes

Crest factor and visualization

Cut a frequency spectrum

Short-term autocorrelation of a time wave

Continuous spectral entropy

Cut a section of a time wave

dB colour scale for a spectrogram display

Delete a section of a time wave

Dominant frequency of a time wave

Difference between two time waves

Difference between two frequency spectra

Difference between two amplitude envelopes

Dynamic oscillogram

Time series discretisation

Draw the amplitude envelope of a time wave

Amplitude envelope of a time wave

Frequency bands plot

Fade in and fade out of a time wave

Dynamic sliding spectrum

Frequency filter

Export sound data

Frequency modulation analysis

Near field and far field limits

Finite Impulse Response filter

Fundamental frequency track

Kullback-Leibler distance

Instantaneous frequency

Local maximum frequency peak detection

Play a sound wave

Linear Frequency Shift

Kolmogorov-Smirnov distance

Microphone sensitivity and conversion

Addition of dB values

Hertz / Mel conversion

mean of dB values

Frequency peak detection

Hilbert transform and analytic signal

Frequency of a muscical note

Song of the cicada Cicada orni

Paste a time wave to another one

Show a time wave as an oscillogram

Song of the bird Vanellus vanellus

Replace time wave data by 0 values

Calling song of the tree cricket Oecanthus pellucens

Generate rectangle pulse

Repeat a time wave

Remove the amplitude modulations of a time wave

Mean frequency spectrum of a time wave

Time reverse of a time wave

Resample a time wave

Fourier transform windows

Remove the offset of a time wave

Rugosity of a time wave

Roughness or total curvature

Root Mean Square

seewave-internal

Internal Seewave Functions

Save a .wav file

Shannon and Renyi spectral entropy

A quick look at quantitative data

Time wave analysis and graphical representation

Show a stereo time wave as oscillograms

Frequency spectrum of a time wave

Spectral Flatness Measure

Similarity between two frequency spectra

Instantaneous frequency of a time wave by zero-crossing

Set the amplitude envelope of a time wave to another one

2D-spectrogram of a time wave

3D-spectrogram of a time wave

Temporal entropy

Spectral properties

Symbol analysis of a numeric (time) series

Song of the bird Zonotrichia capensis

Time measurements of a time wave

Waterfall display

wav-flac file conversion

Synthesis of time wave

WAve length and SPeed of sound

Zap silence periods of a time wave