A Musically Motivated Mid-Level Representation for Pitch Estimation and Musical Audio Source Separation
When designing an audio processing system, the target tasks often influence the choice of a data representation or transformation. Low-level time-frequency representations such as the short-time Fourier transform (STFT) are popular, because they offer a meaningful insight on sound properties for a low computational cost. Conversely, when higher level semantics, such as pitch, timbre or phoneme, are sought after, representations usually tend to enhance their discriminative characteristics, at the expense of their invertibility. They become so-called mid-level representations. In this paper, a source/filter signal model which provides a mid-level representation is proposed. This representation makes the pitch content of the signal as well as some timbre information available, hence keeping as much information from the raw data as possible. This model is successfully used within a main melody extraction system and a lead instrument/accompaniment separation system. Both frameworks obtained top results at several international evaluation campaigns.
Keywords: Audio melody extraction ; audio signal representation ; musical audio source separation ; non-negative matrix factorization (NMF) ; pitch estimation ; Nonnegative Matrix Factorization ; Polyphonic Music ; Signals ; Melody ; Identification ; Transcription ; Similarity ; Sounds
Record created on 2011-09-27, modified on 2016-08-09