similar to: OPUS vs MP3

Jean-Mark sarkasm. Jean-Markasm. (Bonus points for providing an actual noisy WAV! ^_^) On 30/10/2017 20:28, Jean-Marc Valin wrote: Hi, Before I comment on the graphics you posted to visualize the difference between two audio signals, I'd like to ask for your help in evaluating my JPEG encoder. I've encoded an image with JPEG and then computed the difference with the original. I then

using iTunes i've noticed that AAC is very good at re-encoding own lossy sound. let's test Opus! neroaacenc.exe -q 0.75 -if 000.wav -of 001.m4a neroaacdec.exe -if 001.m4a -of aac001.wav wavdiff.exe 000.wav aac001.wav Comparing 000.wav - aac001.wav... Max diff: -17.3867dB RMS diff: -33.0851dB Mean diff: -32.4582dB opusenc.exe --bitrate 512 "000.wav" 001.opus opusdec.exe 001.opus

Hi, Before I comment on the graphics you posted to visualize the difference between two audio signals, I'd like to ask for your help in evaluating my JPEG encoder. I've encoded an image with JPEG and then computed the difference with the original. I then converted the difference to sound. You can listen to the image difference on this clip: https://jmvalin.ca/misc_stuff/diff.wav Can you

Just to be clear, my goal here wasn't to make fun of anyone, but to drive the point that spectrograms should *never* be used to demonstrate quality. The only case where they can sometimes be useful is for diagnostic purposes. If you hear something and you're not sure what you're hearing exactly, then sometimes a spectrogram can help you figure out what it is. That's pretty much it.

Dear R Staff You can see my data.csv file in the annex. I try to count non-zero values in dataset but I need to exclude NA in this calculation My code is very long (following), How can I write this code more efficiently and shortly? ## [NA_Count] - Find NA values data.na =sapply(data[,3:ncol(data)], function(c) sum(length(which(is.na (c))))) ## [Zero] - Find zero values

I contacted Martin Maechler (maechler at stat.math.ethz.ch) and was advised to contact you for input on the question below...thanks! I am very new with the R experience, all I know is that it's computer language & coding... I'm trying to plot a regression graph for runif (100, 1000, 10000). What am I not getting here, I can get the values in R no problem, but no idea how to turn it

Oops, wrong language ;D Okay Rowland. Thank you very much for this help. To the next. <https://www.avast.com/sig-email?utm_medium=email&utm_source=link&utm_campaign=sig-email&utm_content=webmail> Livre de v?rus. www.avast.com <https://www.avast.com/sig-email?utm_medium=email&utm_source=link&utm_campaign=sig-email&utm_content=webmail>.

Hi guys, as MP3 and Opus have very similar objectives, I think the original poster's question was a valid one: Why does Opus have more artefacts in the lower frequency ranges than MP3 has? The spontaneous suspect that lower frequency artefacts may be more noticeably than higher frequency artefacts seems plausible, also. Is it a matter of energy (which is higher for higher frequencies)? When

This is what I was looking for. Thank you everyone! Sincerely, Milu <https://www.avast.com/sig-email?utm_medium=email&utm_source=link&utm_campaign=sig-email&utm_content=webmail> Mail priva di virus. www.avast.com <https://www.avast.com/sig-email?utm_medium=email&utm_source=link&utm_campaign=sig-email&utm_content=webmail>

Thanks for you answer Marcus, So maybe this means some bug was fixed? Anyone aware of something related? >From the release notes, I couldn't find any direct change that could fix this.... Thanks, Kind regards, Patrick Wakano On 21 February 2018 at 20:29, Marcus Kvarsell <Marcus.Kvarsell at fogwise.se> wrote: > Hello, i found upgrading to asterisk 15 helped. > > > >

Hello. My name is Yarin. I want to setup the app to create my station. the explanation is not clear. Can you help me please from the beginning? Thank you <http://www.avg.com/email-signature?utm_medium=email&utm_source=link&utm_campaign=sig-email&utm_content=webmail> Virus-free. www.avg.com

On 22/06/2020 14:00, Fernando Gon?alves wrote: > Good morning Rowland. > > As you may have noticed, I am no expert in deploying SAMBA in an AD > domain. > Could you give me a link with a tutorial that explains in a simple way > the procedure for this? You could start here: https://wiki.samba.org/index.php/Setting_up_Samba_as_a_Domain_Member > > Just to not leave

dear Members, I have recently started studying SQL and MySQL. My question is, what exactly is SQL used for? That is, whatever can be done by SQL, like subsetting and filtering of data sets, can also be done by R. What's, then, the advantage of SQL? It is OK if you tag this question as offtopic, but I could'nt find any info on the web. Can you please refer me to

Ista, et. al: efficiency? (Note: I needed to correct my previous post: do.call() is required for pmax() over the data frame) > x <- data.frame(matrix(runif(12e6), ncol=12)) > system.time(r1 <- do.call(pmax,x)) user system elapsed 0.049 0.000 0.049 > identical(r1,r2) [1] FALSE > system.time(r2 <- apply(x,1,max)) user system elapsed 2.162 0.045 2.207 ##

Krzysztof, lib/Target/Hexagon/HexagonDepDecoders.h is marked as generated code and I should consult you, as code owner, before changing. As this file is not a stand-alone header (does not compile alone, no header guards, is included in the middle of other files) it should not have the .h extension. I propose that this file be renamed to have .inc extension to be consistent with the coding

What was suggested by Eric and Rui works well, but here is a short and may be simpler answer provided your data is similar what Eric posted. It should work for your l data too. aa <- is.na(data)|data==0 nrow(data)-colSums(aa) EK On Sun, Oct 29, 2017 at 6:25 AM, Engin YILMAZ <ispanyolcom at gmail.com> wrote: > Dear R Staff > > You can see my data.csv file in the annex. >

Hola buenos días hice un gráfico combinado de líneas, puntos y barras en ggplot2, pero no sé cómo puedo poner la leyenda de eso gráfico para que me represente para las líneas con puntos los valores estimados por un modelo y observados. este es mi código: ggplot(MLM,aes(x=Individuo)) + geom_bar(aes(y=Observada), stat = "identity", color= "gray") + geom_line(aes(y=Estimada),

Since i could not see your data, the easiest thing comes to mind is court values excluding NAs, is something like this sum(!is.na(x)) Best of luck--EK On Sun, Oct 29, 2017 at 6:25 AM, Engin YILMAZ <ispanyolcom at gmail.com> wrote: > Dear R Staff > > You can see my data.csv file in the annex. > > I try to count non-zero values in dataset but I need to exclude NA in this >

Dear R Staff This is my file (www.fiscalforecasting.com/data.csv) if you don't download this file, my dataset same as following Year Month A B C D E 2005 July 0 *4* NA NA *1* 2005 July 0 NA NA 0 *9* 2005 July NA *4* 0 *1* 0 2005 July *4* 0 *2* *9* NA I try to count non-zero values which are not NA values for every *column* *Sincerely* *Engin YILMAZ*

Hi Guys I am wanting to test running tinc in openwrt. I need help on how to run it in openwrt. How do I compile tinc ? Regards Yazeed Fataar <yazeedfataar at hotmail.com> <https://www.avast.com/sig-email?utm_medium=email&utm_source=link&utm_campaign=sig-email&utm_content=webmail> This email has been sent from a virus-free computer protected by Avast. www.avast.com