Skip to content

Latest commit

 

History

History
72 lines (35 loc) · 1.69 KB

README.md

File metadata and controls

72 lines (35 loc) · 1.69 KB

tuneR

About

This is a read-only mirror of the CRAN R package repository tuneR: Analysis of Music and Speech.

Additional functionality

An additional functionality provides the ability to 'convert_wac2wav'. This uses a C program written by ABMI.

Install

It might help to have a working development environment and these instructions might get you started:

Windows: Install Rtools.

Mac: Install Xcode from the Mac App Store.

Linux: Install a compiler and various development libraries (details vary across different flavors of Linux).

Install package devtools.

Then install the development version of tuneR.

###devtools::install_github("sildeag/tuneR")

18/11/2016 changed to add roxygen2 export and dynamic calls

20/11/2016 fixed fopen for Windows 10 for wac2wav binary conversions

for windows 10 64-bit environment

wac_filename <- c("C:/users/sildeag/tuneR/tests/Testfiles/test.wac")

wav_filename <- c("C:/users/sildeag/tuneR/tests/Testfiles/test.wav")

convert_wac2wav(wac_filename,wav_filename)

or

for ubuntu 16.04 64-bit environment

wac_filename <- c("/home/sildeag/tuneR/tests/Testfiles/test.wac")

wav_filename <- c("/home/sildeag/tuneR/tests/Testfiles/test.wav")

convert_wac2wav(wac_filename,wav_filename)

to convert all wac files in a folder

On Windows

convert_folder_wac2wav('C:/users/sildeag/Downloads')

###console output:

Blocksize 32

Samplerate 44100

Samplecount 7938048

Seeksize 16

Seekentries 8192

Processing: testxyz2 .............................................................Done.

###Note: whether the operating environment is 32-bit/64-bit or windows or unix makes a difference to the shared library.