Hi,
Thanks for fixing this problem! We had a similar trouble since a few years,
and I never thought it would be a bug on Liquidsoap's side.
When should this fix land in a stable release? A "when it's done"-like
answer is of course accepted ;-)
Stan
2013/5/7 Samuel Mimram <[email protected]>
> Thanks a lot for sorting this out! This is fixed in
>
> https://github.com/savonet/liquidsoap/commit/12d2141dddf9467343103bd840ff2908076ac9d0
>
> On Tue, May 7, 2013 at 5:36 PM, Romain Beauxis <[email protected]>
> wrote:
> > Hi,
> >
> > 2013/5/7 Richard Lamont <[email protected]>:
> >> Hi,
> >>
> >> I mentioned this sometime last year but only just got round to doing
> >> more work on it.
> >>
> >> I'm just using liquidsoap to provide real-time processing of loudness
> >> and dynamic range for a live linear PCM audio stream that comes in and
> >> goes out again via jack.
> >>
> >> If I run a very simple script, containing just two active lines:
> >>
> >> stream = input.jack(id="liquidsoap_input")
> >> output.jack(stream, id="liquidsoap_output")
> >>
> >> I would expect liquidsoap to take audio in from jack and feed exactly
> >> the same audio back to jack.
> >>
> >> This doesn't happen. The audio comes out 2.5 dB quieter (75% amplitude)
> >> than it went in. This can be verified by feeding a sine wave tone in
> >> from, say, jaaa and measuring the level with jnoisemeter.
> >>
> >> This level discrepancy can be patched in two source files:
> >>
> >> in src/sources/bjack_in.ml
> >> and src/outputs/bjack_out.ml
> >>
> >> there is a line which says:
> >>
> >> Bjack.set_all_volume dev 75 ;
> >>
> >> Changing the value from 75 to 100 fixes the problem.
> >>
> >> I've only tested this on version 1.0.1 but the code in 1.1.0 appears to
> >> be the same.
> >
> > Thanks for the investigation and report! I'll make sure this goes into
> > 1.1.1 which is about to go out real soon!
> >
> > Romain
> >
> >
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>
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------------------------------------------------------------------------------
Learn Graph Databases - Download FREE O'Reilly Book
"Graph Databases" is the definitive new guide to graph databases and
their applications. This 200-page book is written by three acclaimed
leaders in the field. The early access version is available now.
Download your free book today! http://p.sf.net/sfu/neotech_d2d_may
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