search for: readwav

Hi, I have a huge collection of 6-channel .wav files containing audio and sensor recordings, which I need to analyse, across all 6 channels. I'm thinking about what will be easier to do. 1. Just split the channels in an external audio-editor and than read each mono channel seperatly with readWave (from tuneR), or 2. inherite the readWave class and extend it to multichannel reading? What do you think? Best, Alex -- Alex Hofmann (Dipl.-Musikl.) Institute of Musical Acoustics (Wiener Klangstil) University of Music and Performing Arts Vienna Anton-von-Webern-Platz 1 1030 Vienna, Austria Te...

...and asking the function to take a sample of 1 minute (from minute 100 to minute 101 of the 3-hour file) and saving it in an object "rec". Here is what I'm doing: filename<-"QUm0B24x_SMS05_20100831_052100.wav" min.ini<-100 min.fin<-101 library(tuneR) rec<-readWave(filename,min.ini,min.fin,"minutes") writeWave(rec,"cut1.wav") It is writing the file in the same directory of the "filename" object. What I want to do is to write the "cut1.wav" file in a different folder. Any suggestions? Thanks in advance! -- *Humber...

Dear all, I need to do the same procedure on several files. But I don't know how to refer to the file name. Here is an example of what I am trying to do. List of files: file1(A,B,C, D1...Dn), file2(A,B,C,E1,...,En), file3(A,B,C,F1,...,Fn) Procedure I want to apply on each file: dft <- melt(df,id=c('A','B','C')) dft$X <- substr(dft$variable,1,3) dft$Y <-

Hi, I have 35 data files for reading. I would like get a program for performing reading of 35 files at once. All are of the type: Dados1.raw, Dados2.raw and so on. If the files have the same number of columns, I can read with the following commands: rm(list=ls()) filenames = list.files(path="~/Silvano/Arq", pattern="Dados+.*raw") names = substr(filenames, 1, 7) for(i in

I am trying to create a frequency distribution and I am a bit confused. Here are the commands I have entered: > data <- read.csv(file="40609_sortedfinal.csv",head=TRUE,sep=",") > NumberOfActionsByStatus = data$STATUS > NumberOfActionsByUser = data$ETS_LOGIN > NumberOfBidOffer = data$BID_OFFER > NumberOfActionsByUser.freq = table(NumberOfActionsByUser) >