Automatic Music Transcription based on Non-Negative Matrix Factorization
نویسندگان
چکیده
In this paper, we present a method for the automatic transcription of polyphonic piano music. The input to this method consists in piano music recordings stored in WAV files, while the pitch of all the notes in the corresponding score forms the output. This method operates on a frame-by-frame basis and exploits a suitable time-frequency representation of the audio signal. The solution proposed consists of a musical note transcription algorithm based on Short-Time Fourier Transform (STFT) and Non-Negative Matrix Factorization (NMF). To validate our method, we present a collection of experiments of piano music, using J.S Bach’s three part inventions. Key-Words: Automatic music transcription, piano music, NMF
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