ms2samples

Integer. Number of samples or time in ms.

value

Integer. The sampling frequency in samples per second.

Integer. Indicating the time expansion factor. If the
recording is not time expanded tx must be set to 1 (the default).

Logical. If TRUE converts time to number of samples, if FALSE
number of samples to time.

Convert time to number of samples or vice versa
in sound files.

Provides an all-in-one solution for automatic classification of
sound events using convolutional neural networks (CNN). The main purpose
is to provide a sound classification workflow, from annotating sound events
in recordings to training and automating model usage in real-life
situations. Using the package requires a pre-compiled collection of
recordings with sound events of interest and it can be employed for:
1) Annotation: create a database of annotated recordings,
2) Training: prepare train data from annotated recordings and fit CNN models,
3) Classification: automate the use of the fitted model for classifying
new recordings. By using automatic feature selection and a user-friendly GUI
for managing data and training/deploying models, this package is intended
to be used by a broad audience as it does not require specific expertise in
statistics, programming or sound analysis. Please refer to the vignette for
further information.
Gibb, R., et al. (2019) <doi:10.1111/2041-210X.13101>
Mac Aodha, O., et al. (2018) <doi:10.1371/journal.pcbi.1005995>
Stowell, D., et al. (2019) <doi:10.1111/2041-210X.13103>
LeCun, Y., et al. (2012) <doi:10.1007/978-3-642-35289-8_3>.

ms2samples: Convert between time and number of samples in sound files

Description

Usage

Arguments

Value

Examples