The separation of tonelike and noiselike components within an audio signal is important for many signal processing applications, such as codecs employing a psychoacoustic criterion. Detection of tonal components allows for the creation of tonal tracks, which have specific masking properties. Conventional tonality estimation procedures are not well suited for modulated components that are typically found in music with vibrato and tremolo. In the proposed method, the analysis simultaneously uses a tonality metric based on both historic frames and spectral bins. The results for various metrics are compared.
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