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MUSICAL AUDIO STREAM SEPARATION BY NON-NEGATIVE MATRIX FACTORIZATION

Our research is to develop a methodology for separating musical audio into streams of individual sound sources, such as instruments or voice. In this paper, we show the current progress of our research and a system built on the Non-negative Matrix Factorization (NMF) algorithm. The system was tested on both artificially mixed audio and real musical recording. This work is closely related to the task of blind source separation, computational auditory scene analysis and automatic music transcription. It will contribute to the areas such as music information retrieval, digital audio effects, and musical audio coding. Keywords– Blind Source Separation, Non-negative Matrix Factorization, Automatic Music Transcription