Separation of synchronous pitched notes by spectral filtering of harmonics

Mark R. Every; John E. Szymanski

doi:10.1109/TSA.2005.858528

Separation of synchronous pitched notes by spectral filtering of harmonics

Mark R. Every, John E. Szymanski

Electronic Engineering

Research output: Contribution to journal › Article › peer-review

Abstract

This paper discusses the separation of two or more simultaneously excited pitched notes from a mono sound file into separate tracks. In fact, this is an intermediate stage in the longer-term goal of separating out at least two interweaving melodies of different sound sources from a mono file. The approach is essentially to filter the set of harmonics of each note from the mixed spectrum in each time frame of audio. A major consideration has been the separation of overlapping harmonics, and three filter designs are proposed for splitting a spectral peak into its constituent partials given the rough frequency and amplitude estimates of each partial contained within. The overall quality of separation has been good for mixes of up to seven orchestral notes and has been confirmed by measured average signal-to-residual ratios of around 10-20 dB.

Original language	English
Pages (from-to)	1845-1856
Number of pages	12
Journal	IEEE Transactions On Audio Speech And Language Processing
Volume	14
Issue number	5
DOIs	https://doi.org/10.1109/TSA.2005.858528
Publication status	Published - Sept 2006

Keywords

music note separation
partial extraction
separation of overlapping harmonics
SPEECH

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10.1109/TSA.2005.858528

Cite this

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title = "Separation of synchronous pitched notes by spectral filtering of harmonics",

abstract = "This paper discusses the separation of two or more simultaneously excited pitched notes from a mono sound file into separate tracks. In fact, this is an intermediate stage in the longer-term goal of separating out at least two interweaving melodies of different sound sources from a mono file. The approach is essentially to filter the set of harmonics of each note from the mixed spectrum in each time frame of audio. A major consideration has been the separation of overlapping harmonics, and three filter designs are proposed for splitting a spectral peak into its constituent partials given the rough frequency and amplitude estimates of each partial contained within. The overall quality of separation has been good for mixes of up to seven orchestral notes and has been confirmed by measured average signal-to-residual ratios of around 10-20 dB.",

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AB - This paper discusses the separation of two or more simultaneously excited pitched notes from a mono sound file into separate tracks. In fact, this is an intermediate stage in the longer-term goal of separating out at least two interweaving melodies of different sound sources from a mono file. The approach is essentially to filter the set of harmonics of each note from the mixed spectrum in each time frame of audio. A major consideration has been the separation of overlapping harmonics, and three filter designs are proposed for splitting a spectral peak into its constituent partials given the rough frequency and amplitude estimates of each partial contained within. The overall quality of separation has been good for mixes of up to seven orchestral notes and has been confirmed by measured average signal-to-residual ratios of around 10-20 dB.

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JO - IEEE Transactions On Audio Speech And Language Processing

JF - IEEE Transactions On Audio Speech And Language Processing

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