fingerprint.ts: Extract Fingerprints for any Kind of ts Object

In LiKao/VoiceExperiment: Analysis of Vocal Responses to Psychological Experiments

Description

Fingerprints from ts objects are extracted by first extracting a feature time series from the original time series and then running the appropriate fingerprint extractor on this feature series.

Usage

## S3 method for class 'ts'
fingerprint(ts, feature.type = c("MFCCs", "MFCC", "spectrum"),
  start = NULL, end = NULL, duration = NULL, feature.params = list(),
  ...)

Arguments

ts	The time series object from which the fingerprint should be extracted
feature.type	The type of features to be used in fignerprinting
start	The start position at which to start extraction (see details)
end	The end position at which to end extraction (see details)
duration	The duration of the window to be extracted (see details)
feature.params	Additional arguments for the feature extractor
...	Arguments passed to fingerprinting function for the features

Details

The position of the wave file for which the fingerprint should be extracted can be set based either on start or end values or start and a duration.

LiKao/VoiceExperiment documentation built on May 7, 2019, 1:19 p.m.