similar to: looking for a quick solution

On Dec 2, 2010, at 14:53, scott brown wrote: > original 24/48 wav file: 264,904,968 bytes > flac level 8: 105,992,780 bytes > > dithered 16/48 wav file:173,885,996 bytes > flac level 8: 108,700,948 bytes > > truncated 16/48 wav file: 173,885,996 bytes > flac level 8: 105,224,448 bytes > > RMS level of original 24 bit: -15.3dB with peaks at -0.3dB > > if I

-----BEGIN PGP SIGNED MESSAGE----- Hash: SHA1 for the ssh-add program it would be nice to have it add keys listed in a plain text file. such as a file ~/.ssh/keylist I looked at the code but I do not know how to code c, I could learn but I thought to ask the devlopers first :-P thank you guys Steven Michalske -----BEGIN PGP SIGNATURE----- Version: GnuPG v1.0.7 (GNU/Linux)

Hi! I'm totally new to audio programming. I managed to create a VoIP with waveform (PCM). The problem was the really high traffic, so I desided to use speex for compressing the data. I'm recording with mono, 16bit/sample, 8000 samples per second. I tried to add the speex compression, but I always get a crash when I try to decode the data. Here is my encode and decode function: int

Hello, I have an p2p voice chat application using WAVE PCM (winmm). Now i am trying to add opus encoding to it to send it over the TCP/IP and then decoding it back to play - but without success (without opus it works ok) Here is an example of my code. I get message from input device then encode with opus then decode it back to output wave header and play. Doing it i hear only noise in my

I am specifically using Celt Wideband (48kHz) over WiFi multicast that naturally leads to lost packets and am trying to minimize the impact to the audio. I implemented PLC but the audio it produces is robotic. Have I implemented PLC correctly? Checking the waveform it is using the previous received waveform to fill in a missing packet but not the full waveform so it has to repeat. Basically,

Dear all, I am using different multiple regression models (OLS and principal component regression (PCR)) to make prediction of my test set. And those models come from the same training set, except that the number of variables or descriptors (columns of X) used in OLS is less than those used in PCR. And I use square correlation coefficient (r^2) and root mean square to see the relationship

Hello, I am trying to install R packages under linux, some of the packages can not be installed and I got the following error, could anybody give me suggestion on where the problem is and how to fix it? Thanks-e > .libPaths() [1] "/usr/lib64/R/library" [2] "/usr/share/R/library" [3]

I have three time series, x, y, and z, and I want to analyse the relations between them. However, they have vastly different resolutions. I am writing to ask for advice on how to handle this situation in R. x is a stimulus, and y and z are responses. x is a rectangular pulse 4 sec long. Its onset and offset are known with sub-millisecond precision. The onset varies irregularly -- it doesn't

I am puzzled by a filtering problem using fft(). I don't blame R. I have a waveform y consisting of the sum of 2 sinewaves having freqs f1 and f2. I do s = fft() of y. Remove s's spike at freq=f2 Do inverse fft on s. The resulting waveform still has a lot of f2 in it! But the filtering should have removed it all. What is going on, and how to fix?? Thanks very much for any help. Bill

What do you mean by "implement"? You're just using the Opus built-in PLC (passing NULL), right? The PLC generally attempts to find periodicity and replicate it. I guess if your signal isn't periodic it can lead to a repetition that isn't great. It's something that could probably be improved in the PLC. Cheers, Jean-Marc On 08/25/2015 01:21 PM, Scott Boekweg wrote:

A friend of mine recently had a problem with a "broken" .WAV file (as you call them) because oggenc first printed out a warning and then didn't accept the file because of a "unexpected EOF error". Because I was interested in the issue, I decided to take a look at the oggenc source, and in fact, it is your .WAV reader that's wrong. More precisely: there are two version

Hi, Although this is a repost from Asterisk biz, we would like to ask if somebody may help us to develop a native Asterisk module using AQuA technology for voice quality monitoring using the same web service AQuA Meter is using. Thanks, Sevana Finland/Estonia ---------- Forwarded message ---------- From: Sevana Oy <sales at sevana.fi> Date: Mon, Jun 17, 2013 at 7:30 PM Subject: AQuA Meter

Dear all, I am having trouble creating a "jagged array" in R. I have found no commentary on how to do it in the help files, but maybe I am misunderstanding the purpose of some of the array functions (e.g. tapply). I am using a longitudinal dataset where each individual has a different number of time points (observations). I need to create correlation structures for each

I am cleaning up the rms package to not export functions not to be called directly by users. rms uses generic functions defined in other packages. For example there is a latex method in the Hmisc package, and rms has a latex method for objects of class "anova.rms" so there are anova.rms and latex.anova.rms functions in rms. I use:

I'm doing testing on this at the moment. But to start with: >>Because music represents an analog signal, As I wrote, it would only apply to specific genres, not analog recordings. Electronic music quite often doesn't leave a computer these days. And it mainly consists of drums, synths & vocals/effects. Drums are often samples sequenced at sample (not sub-sample) accuracy,

rms version 3.3-1 has been installed on CRAN. New features/bug fixes are below. * Added new example for anova.rms for making dot plots of partial R^2 of predictors * Defined logLik.ols (calls logLik.lm) * Fixed and cleaned up logLik.rms, AIC.rms * Fixed residuals.psm to allow other type= values used by residuals.survreg * Fixed Predict and survplot.rms to allow for case

I have updated the rms package to extensively use NAMESPACE. I cannot get certain S3 methods to dispatch. For example I have in NAMESPACE S3method(anova, rms) S3method(latex, anova.rms) anova.rms produces an object of class "anova.rms" and there is a latex.anova.rms function in rms. But when I do latex(anova(fit)) I get an invocation of latex.default. I have tried using

This might be easy (but I didn't find an answer in the archives). I'm trying to make nice looking images (using image()). To make them look nice (not jagged), it usually takes me at least 100x100 points. This can be slow for frequent redraws. Is there a smarter (less point intensive) way? I was thinking in terms of hexabins, for example, which for much less jagged looking regions,

The rms ("Regression Modeling Strategies") package has undergone a massive update. The entire list of updates is at the bottom of this note. CRAN has the update for linux and will soon have it for Windows and Mac - check http://cran.r-project.org/web/packages/rms/ for availability. This rms update relies on a major update of the Hmisc package. The most user-visible changes are:

This is to announce a new package rms on CRAN. rms goes along with my book Regression Modeling Strategies. The home page for rms is http://biostat.mc.vanderbilt.edu/rms, or go directly to http://biostat.mc.vanderbilt.edu/Rrms for information just about the software. rms is a re-write of the Design package that has improved graphics and that duplicates very little code in the survival