[10031] in cryptography@c2.net mail archive
Re: Source discrimination.
daemon@ATHENA.MIT.EDU (Gregory Hicks)
Sun Dec 30 13:39:34 2001
Message-Id: <200112301833.fBUIXo510144@pony-express.cAdence.COM>
Date: Sun, 30 Dec 2001 10:33:42 -0800 (PST)
From: Gregory Hicks <ghicks@cadence.com>
Reply-To: Gregory Hicks <ghicks@cadence.com>
To: tpurdy@newsguy.com
Cc: cryptography@wasabisystems.com, ghicks@pony-express.cAdence.COM
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> From: tpurdy@newsguy.com
> Date: Sat, 29 Dec 2001 23:44:08 -0500
>
> My search is not directly related to cryptography, except perhaps, as
> part of the stegonograph y threads:
>
> Does anyone know of a source package that can discriminate
> vocal/ambient noise sources from musical/instrumental sources? Ie,
> instruments vs voice? I'm aware of various canned bandpass
> approaches, which work (sorta) for karoke use, but don't quite work
> for what I'm trying to do. (I want to preserve both "channels" for
> separate analysis.)
Not exactly what you're looking for, but it might give you somewhere to
look... In the early '70s there was work done at the University of
Utah by a doctoral candidate (first name 'Tony' - I forget the last
name) separating voice from music. He used a recording by Caruso from
the early part of the 1900's as his data source. Tony succeeded. Had
the voice on one channel with the music on the other. Used a digital
FFT to make the discrimination. The FFT was compiled in Fortran and
ran under DEC Tenex in a standalone mode on a PDP-10.
(To give you the time frame) About this same time, also at the
University of Utah, Barry Wessler made a 'Hidden line' algorithm that
also ran on the same setup. Barry made a 30 second animation of a
biplane doing a barrel roll to show that the hidden line algorithm
worked.
Regards,
Gregory Hicks
>
> --
>
> tpurdy@newsguy.com
>
>
>
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