2014-08-05 15:13 GMT+02:00 Fons Adriaensen <fons(a)linuxaudio.org>rg>: thank you Fons /r

On Tue, Aug 05, 2014 at 04:23:23PM +0200, Raffaele Morelli wrote: Yes, the entire audio file is processed. Internally ebumeter and ebur128 compute two histograms, each consisting of 751 bins from -70 to +5 dB in steps of 0.1 dB. The first histogram is the 'momentary' loudness, the average over a sliding window of 400 ms. The second is the 'short-term' loudness, computed using a sliding window of 3 seconds. The histograms are then used to compute average loudness and loudness range according to the EBU-R128 standard. Ebumeter will show them in real-time. For the details, see my LAC 2011 paper which you can find here: <http://kokkinizita.linuxaudio.org/papers/index.html>. The output file of ebur128 consists of five columns: 1. X-axis, level in dB 2. Cumulative probability of the momentary loudness, this is the histogram integrated and normalised to 1. In other words the probability that the level is less than the X-axis value. 3. Same for the short-term loudness. 4. The momentary loudness histogram, counts for each bin. 5. Same for the short-term loudnes. The gnuplot commands I posted will plot 1 vs 4 or 1 vs 5. Ciao, -- FA A world of exhaustive, reliable metadata would be an utopia. It's also a pipe-dream, founded on self-delusion, nerd hubris and hysterically inflated market opportunities. (Cory Doctorow)

On Fri, 2014-08-08 at 08:46 +0200, Raffaele Morelli wrote: Not to mention recordings of artists who died decades ago. You will hear claims such as, the Hendrix family authorize original unreleased Jimi Hendrix mixes, but when listening, you can hear that something with the mixes is fishy.

2014-08-08 19:42 GMT+02:00 Fons Adriaensen &lt;fons(a)linuxaudio.org&gt;rg>: ​cumulative plot is way better to graphically compare two (or a bunch of) audio files dynamic. statistician here ;-) here's a few R lines to generate "sexy" plots, the script is supposed to be ran in the same dir where prob files are ​ require(ggplot2) require(reshape2) # read prob files, a shell script is being used to create and rename prob files as outputted from ebur128 files <- list.files(".", "*.prob$") # load prob files as tables in a list data.list <- lapply(files, read.table) # create an empty matrix s<-matrix(nrow=751, ncol=length(files)) # loads cumulative probabilities into the matrix for( i in 1:length(files)) { s[,i]<- data.list[[i]]$V2 } # matrix to dataframe and proper columns name s2 <- as.data.frame(s) colnames(s2) <- files s2$dbs <- data.list[[1]]$V1 # add X-axis variable (dB) # melt the data to a long format df2 <- melt(data = s2, id.vars = "dbs") # plot, using the aesthetics argument 'colour' g<-ggplot(data = df2, aes(x = dbs, y = value, colour = variable)) + geom_line() plot(g) ​ Next release will have the histograms as well, it's only a few chars extra ​great /r

On Tue, 2014-08-05 at 15:16 +0200, Ralf Mardorf wrote: axis axis :D

On Tue, 2014-08-05 at 15:27 +0200, Raffaele Morelli wrote: My bad, Fons seems to have understood it correctly ;).