Path: utzoo!attcan!uunet!husc6!rutgers!dayton!joe
From: joe@dayton.UUCP (Joseph P. Larson)
Newsgroups: comp.sys.amiga.tech
Subject: Re: 2 More Questions
Message-ID: <6112@dayton.UUCP>
Date: 9 Sep 88 14:30:44 GMT
References: <8809071942.AA05026@cory.Berkeley.EDU>
Reply-To: joe@dayton.UUCP (Joseph P. Larson)
Organization: Dayton-Hudson Dept. Store Co.
Lines: 24

Oh, but what an interesting topic for a Ph.D thesis!  Just think how you
could start out -- recognizing a single note.  Not too tough -- you ought
to be able to figure out the frequency of the note, even for something with
harmonics and all that (remember -- most instruments do NOT play clear, crisp
notes.  Their notes contain harmonics and such.  Otherwise it would sound
like a Computer, not a piano or a trumpet.)

Eventually, you'd have to weed out the garbage, like a human voice in the
music (people do often sing along with the music).  Gosh -- this makes my
planned topic of voice recognition seem like a piece of cake.

In article <8809071942.AA05026@cory.Berkeley.EDU> dillon@CORY.BERKELEY.EDU (Matt Dillon) writes:
>>>    QUESTION#2)  Is it possible with software and hardware capabilities
>>>                 to digitize a song and have the computer convert the
>>>                 wavelengths into notes/sheetmusic and then print it
>>>                 out?
>	This is strictly a (read: major math) processing thing and is not 
>dependant on the particular graphics or sound capabilities for any computer.
>
>	Maybe on a mainframe, if it's possible at all!
-- 
UUCP: rutgers!dayton!joe   (Feed my      Dayton Hudson Department Store Company
ATT : (612) 375-3537       picture       Joe Larson/MIS 1060
(standard disclaimer...)   collection)   700 on the Mall      Mpls, Mn. 55402