Xref: utzoo rec.audio:7253 sci.electronics:3306 Path: utzoo!attcan!uunet!lll-winken!lll-lcc!ames!ll-xn!mit-eddie!bbn!rochester!pt.cs.cmu.edu!speech1.cs.cmu.edu!phd From: phd@speech1.cs.cmu.edu (Paul Dietz) Newsgroups: rec.audio,sci.electronics Subject: Re: Restoration Keywords: loudspeaker, speaker, bibliography Message-ID: <2266@pt.cs.cmu.edu> Date: 14 Jul 88 10:11:03 GMT References: <1309@kodak.UUCP> <6198@aw.sei.cmu.edu> <2585@obiwan.mips.COM> <430@cb.ecn.purdue.edu> <4944@husc6.harvard.edu> Sender: netnews@pt.cs.cmu.edu Organization: Carnegie-Mellon University, CS/RI Lines: 22 In article <4944@husc6.harvard.edu> gallaghe@husc8.UUCP (Paul Gallagher) writes: >Here's a question maybe someone out there can answer: >Why isn't it possible to completely restore a recording: for example, to remove >all extraneous noise (hiss, clicks, coughs), even to make a reasonable guess >about information not in the original recording (for example, given a score >and a knowledge of the harmonics of a voice or an instrument, to recreate >something close to the sound of the original performance)? Actually, this sort of thing is commonly done. I remember hearing a story about some Caruso recordings that were restored by having a singer imitate as closely as possible the original, and then using this to generate optimal filters that were then applied to the original recordings. I suggest you look at the literature on adaptive filtering. Widrow and Stearns "Adaptive Signal Processing" in the Prentice-Hall Signal Processing Series is a good place to start. Paul H. Dietz ____ ____ Dept. of Electrical and Computer Engineering / oo \ <_<\\\ Carnegie Mellon University /| \/ |\ \\ \\ -------------------------------------------- | | ( ) | | | ||\\ "If God had meant for penguins to fly, -->--<-- / / |\\\ / he would have given them wings." _________^__^_________/ / / \\\\-