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Perceived Loudness

Started by Randy Yates February 16, 2007
Hi Folks,

Does anyone know of any good algorithms, papers, web sites, etc., that
discuss ways to determine the perceived loudness of an audio source? You
know, like detecting those nasty over-compressed commercials that sound
so loud versus the normal program material?

I'm aware of the basic issues such as peak-to-average power ratio
(i.e., the effect of compression) and dynamic range differences, but
don't know what actually "works" in predicting how "loud" something
will sound to a human.
-- 
%  Randy Yates                  % "Midnight, on the water... 
%% Fuquay-Varina, NC            %  I saw...  the ocean's daughter." 
%%% 919-577-9882                % 'Can't Get It Out Of My Head' 
%%%% <yates@ieee.org>           % *El Dorado*, Electric Light Orchestra
http://home.earthlink.net/~yatescr
"Analysis of the Meter of Acoustic Musical Signals" by Anssi Klapuri
has a small discussion on the loudness Weber effect and human
perception in Section II A. Perhaps you wont get a direct answer
however the paper is quiet informative in understanding certain
psychoacoustic phenomenons.

Hope it helps.

On Feb 16, 3:17 pm, Randy Yates <y...@ieee.org> wrote:
> Hi Folks, > > Does anyone know of any good algorithms, papers, web sites, etc., that > discuss ways to determine the perceived loudness of an audio source? You > know, like detecting those nasty over-compressed commercials that sound > so loud versus the normal program material? > > I'm aware of the basic issues such as peak-to-average power ratio > (i.e., the effect of compression) and dynamic range differences, but > don't know what actually "works" in predicting how "loud" something > will sound to a human. > -- > % Randy Yates % "Midnight, on the water... > %% Fuquay-Varina, NC % I saw... the ocean's daughter." > %%% 919-577-9882 % 'Can't Get It Out Of My Head' > %%%% <y...@ieee.org> % *El Dorado*, Electric Light Orchestrahttp://home.earthlink.net/~yatescr
Hey,

Do a search on "zwicker loudness model",  that should be useful.



On Feb 16, 8:17 am, Randy Yates <y...@ieee.org> wrote:
> Hi Folks, > > Does anyone know of any good algorithms, papers, web sites, etc., that > discuss ways to determine the perceived loudness of an audio source? You > know, like detecting those nasty over-compressed commercials that sound > so loud versus the normal program material? > > I'm aware of the basic issues such as peak-to-average power ratio > (i.e., the effect of compression) and dynamic range differences, but > don't know what actually "works" in predicting how "loud" something > will sound to a human. > -- > % Randy Yates % "Midnight, on the water... > %% Fuquay-Varina, NC % I saw... the ocean's daughter." > %%% 919-577-9882 % 'Can't Get It Out Of My Head' > %%%% <y...@ieee.org> % *El Dorado*, Electric Light Orchestrahttp://home.earthlink.net/~yatescr
On Feb 16, 8:17 am, Randy Yates <y...@ieee.org> wrote:
> Hi Folks, > > Does anyone know of any good algorithms, papers, web sites, etc., that > discuss ways to determine the perceived loudness of an audio source? You > know, like detecting those nasty over-compressed commercials that sound > so loud versus the normal program material?
Hello Randy, I think the TV commercials may be so overdriven that you may only need to detect if the audio waveform has flat tops to it! Clay
On 16 Feb., 14:17, Randy Yates <y...@ieee.org> wrote:
> Hi Folks, > > Does anyone know of any good algorithms, papers, web sites, etc., that > discuss ways to determine the perceived loudness of an audio source? You > know, like detecting those nasty over-compressed commercials that sound > so loud versus the normal program material? > > I'm aware of the basic issues such as peak-to-average power ratio > (i.e., the effect of compression) and dynamic range differences, but > don't know what actually "works" in predicting how "loud" something > will sound to a human.
Good question. Peak-To-RMS would be my first approach. Another could be histogram based analysis. Perhaps with some prior psychoacoustic weighting (after all, DC has the highest Peak-To-RMS ratio, and is inaudible). Regards, Andor
On Feb 16, 2:32 pm, "Andor" <andor.bari...@gmail.com> wrote:
> On 16 Feb., 14:17, Randy Yates <y...@ieee.org> wrote: > > > Hi Folks, > > > Does anyone know of any good algorithms, papers, web sites, etc., that > > discuss ways to determine the perceived loudness of an audio source? You > > know, like detecting those nasty over-compressed commercials that sound > > so loud versus the normal program material? > > > I'm aware of the basic issues such as peak-to-average power ratio > > (i.e., the effect of compression) and dynamic range differences, but > > don't know what actually "works" in predicting how "loud" something > > will sound to a human. > > Good question. Peak-To-RMS would be my first approach. Another could > be histogram based analysis. Perhaps with some prior psychoacoustic > weighting (after all, DC has the highest Peak-To-RMS ratio, and is > inaudible). > > Regards, > Andor
Hi Randy, I'd try looking here.. http://www.dorrough.com Dorrough's specializes in that. I'd also ask over at rec.audio.pro. (my other favorite group) Mark
"Andor" <andor.bariska@gmail.com> writes:

> On 16 Feb., 14:17, Randy Yates <y...@ieee.org> wrote: >> Hi Folks, >> >> Does anyone know of any good algorithms, papers, web sites, etc., that >> discuss ways to determine the perceived loudness of an audio source? You >> know, like detecting those nasty over-compressed commercials that sound >> so loud versus the normal program material? >> >> I'm aware of the basic issues such as peak-to-average power ratio >> (i.e., the effect of compression) and dynamic range differences, but >> don't know what actually "works" in predicting how "loud" something >> will sound to a human. > > Good question. Peak-To-RMS would be my first approach. Another could > be histogram based analysis. Perhaps with some prior psychoacoustic > weighting (after all, DC has the highest Peak-To-RMS ratio, and is > inaudible).
I am also tempted to go it myself, but before I get to the point where I've spent several days or weeks realizing it ain't so easy, I thought I'd check to see if the wheel had already been invented. -- % Randy Yates % "My Shangri-la has gone away, fading like %% Fuquay-Varina, NC % the Beatles on 'Hey Jude'" %%% 919-577-9882 % %%%% <yates@ieee.org> % 'Shangri-La', *A New World Record*, ELO http://home.earthlink.net/~yatescr
"Mark" <makolber@yahoo.com> writes:

> On Feb 16, 2:32 pm, "Andor" <andor.bari...@gmail.com> wrote: >> On 16 Feb., 14:17, Randy Yates <y...@ieee.org> wrote: >> >> > Hi Folks, >> >> > Does anyone know of any good algorithms, papers, web sites, etc., that >> > discuss ways to determine the perceived loudness of an audio source? You >> > know, like detecting those nasty over-compressed commercials that sound >> > so loud versus the normal program material? >> >> > I'm aware of the basic issues such as peak-to-average power ratio >> > (i.e., the effect of compression) and dynamic range differences, but >> > don't know what actually "works" in predicting how "loud" something >> > will sound to a human. >> >> Good question. Peak-To-RMS would be my first approach. Another could >> be histogram based analysis. Perhaps with some prior psychoacoustic >> weighting (after all, DC has the highest Peak-To-RMS ratio, and is >> inaudible). >> >> Regards, >> Andor > > Hi Randy, > > I'd try looking here.. > > http://www.dorrough.com > > Dorrough's specializes in that. > > I'd also ask over at rec.audio.pro. (my other favorite group)
Thanks Mark, but I'm looking for algorithms, not instruments. That is, I need to implement this myself. -- % Randy Yates % "Rollin' and riding and slippin' and %% Fuquay-Varina, NC % sliding, it's magic." %%% 919-577-9882 % %%%% <yates@ieee.org> % 'Living' Thing', *A New World Record*, ELO http://home.earthlink.net/~yatescr
"Clay" <physics@bellsouth.net> writes:

> On Feb 16, 8:17 am, Randy Yates <y...@ieee.org> wrote: >> Hi Folks, >> >> Does anyone know of any good algorithms, papers, web sites, etc., that >> discuss ways to determine the perceived loudness of an audio source? You >> know, like detecting those nasty over-compressed commercials that sound >> so loud versus the normal program material? > > Hello Randy, > > I think the TV commercials may be so overdriven that you may only need > to detect if the audio waveform has flat tops to it!
You bring up a good point, Clay. I should probably take at least a cursory look at some examples and see if it really is that easy. -- % Randy Yates % "And all that I can do %% Fuquay-Varina, NC % is say I'm sorry, %%% 919-577-9882 % that's the way it goes..." %%%% <yates@ieee.org> % Getting To The Point', *Balance of Power*, ELO http://home.earthlink.net/~yatescr
"mobi" <mobien@gmail.com> writes:

> "Analysis of the Meter of Acoustic Musical Signals" by Anssi Klapuri > has a small discussion on the loudness Weber effect and human > perception in Section II A. Perhaps you wont get a direct answer > however the paper is quiet informative in understanding certain > psychoacoustic phenomenons. > > Hope it helps.
Thank you both, mobi and Ikaro. --Randy -- % Randy Yates % "Ticket to the moon, flight leaves here today %% Fuquay-Varina, NC % from Satellite 2" %%% 919-577-9882 % 'Ticket To The Moon' %%%% <yates@ieee.org> % *Time*, Electric Light Orchestra http://home.earthlink.net/~yatescr