Need software
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- cyc2222
I'm in the need of a simple Program that will convert normal MP3/WAVE/AIFF Files into a Midi File. A free software would be appreciated.
Or is there a Quicktime Pro plug-in available for that?Thanks,
cyc.
- bomy_dick0
i use audacity
- fresnobob0
Um... its a pretty complicated thing to do, i dont know if software like that exists...
- sajets0
It cant be done IMO
- rabattski0
it does excist. i know that (not sure if it was virgin) some audio cd was released with xtra free software for converting mp3/aiff to midi for ringtones. has been in the news, since recordlabels make money with those shite ringtone business now and they're kinda pissed that there's free software out there. just google for it.
- elms0
- sajets0
wow!
didnt know it was possible. Thanks.
- r_gaberz0
uga ... impressive
- JazX0
100%, one is able to convert most sound formats into .mid files.
.wav to .mid
.mp3 to .mid
.ogg to .mid
etc, etc.check http://www.downloads.com
- JazX0
In a few words music recognition is mathematical analysis of an audio signal (usually in WAVE format) and its conversion into musical notation (usually in MIDI format). This is a very hard artificial intelligence problem. For comparison, the problem of recognition of scanned text (OCR - Optical Character Recognition) is solved with 95% accuracy - it is an average exactitude of recognition of the programs of the given class. The programs of speech recognition already work with 70-80% accuracy, whereas the systems of music recognition work with 60-70% accuracy but only for a single voice melody (one note at a time). For polyphonic music the accuracy is even lower.
To create a MIDI file for a song recorded in WAVE format a musician must determine pitch, velocity and duration of each note being played and record these parameters into a sequence of MIDI events. A music recognition software must do the same things. Even for a single instrument song it is not a simple task, because a WAVE recording contains waveform signals and doesn't contain any music specific data.
In general cases the variety of music timbres, harmonic constructions and transitions make it impossible to create a mathematical algorithm for precise reconstruction of a music score from the audio sources. It is hard to recognize audio data which contains many instruments, drums and percussions or clipping signals, unstable pitch sounds and background noises.