NDLI: A novel cepstral representation for timbre modeling of sound sources in polyphonic mixtures

Content Provider	IEEE Xplore Digital Library
Author	Zhiyao Duan Pardo, B. Daudet, L.
Copyright Year	2014
Description	Author affiliation: Dept. of Electr. & Comput. Eng., Univ. of Rochester, Rochester, NY, USA (Zhiyao Duan) \|\| Dept. of Electr. Eng. & Comput. Sci., Northwestern Univ., Evanston, IL, USA (Pardo, B.) \|\| Inst. Langevin, Univ. Paris Diderot - Paris 7, Paris, France (Daudet, L.)
Abstract	We propose a novel cepstral representation called the uniform discrete cepstrum (UDC) to represent the timbre of sound sources in a sound mixture. Different from ordinary cepstrum and MFCC which have to be calculated from the full magnitude spectrum of a source after source separation, UDC can be calculated directly from isolated spectral points that are likely to belong to the source in the mixture spectrum (e.g., non-overlapping harmonics of a harmonic source). Existing cepstral representations that have this property are discrete cepstrum and regularized discrete cepstrum, however, compared to the proposed UDC, they are not as effective and are more complex to compute. The key advantage of UDC is that it uses a more natural and locally adaptive regularizer to prevent it from overfitting the isolated spectral points. We derive the mathematical relations between these cepstral representations, and compare their timbre modeling performances in the task of instrument recognition in polyphonic audio mixtures. We show that UDC and its mel-scale variant MUDC significantly outperform all the other representations.
Sponsorship	IEEE Signal Process. Soc.
Starting Page	7495
Ending Page	7499
File Size	107217
Page Count	5
File Format	PDF
ISBN	9781479928934
DOI	10.1109/ICASSP.2014.6855057
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2014-05-04
Publisher Place	Italy
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Instruments Mel frequency cepstral coefficient Timbre Cepstrum Harmonic analysis Source separation polyphonic timbre instrument recognition
Content Type	Text
Resource Type	Article

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