detectNLP_training_nonv

detectNLP_training_synth

The results of running <code>naiveBayes_train</code> on acoustically
analyzed 969 human nonverbal vocalizations (detectNLP_training_nonv) and on
5000 synthetic sounds with or without NLP created with soundgen
(detectNLP_training_synth). Used by <code>detectNLP</code>.

datasets

Parametric source-filter synthesis of harmonic-noise signals, such
as animal vocalizations and human voice, with control over pitch, formants,
noise, amplitude modulation, nonlinear phenomena, and morphing. General signal
processing tools for audio analysis and manipulation: pitch tracking, formant
and vocal tract length estimation, reassigned and auditory spectrograms,
modulation spectra and psychoacoustic roughness, self-similarity and
surprisal, audio segmentation, pitch and formant shifting, etc. Includes four
interactive web apps for audio synthesis, annotation, formant analysis, and
manually correcting pitch contours.
Reference: Anikin (2019) <doi:10.3758/s13428-018-1095-7>.

Andrey Anikin

soundgen

Sound Synthesis and Acoustic Analysis

detectNLP_training_nonv function

An object of class <code>list</code> of length 12.
An object of class <code>list</code> of length 12.

detectNLP_training_nonv: Training datasets for NLP detection

Description

Usage

Arguments

Format