Coherent modulation filtering for speech

Modulation filtering ideally offers a new approach to modifying the dynamics of non-stationary signals, such as speech. In this paper, a new type of coherent modulation analysis and filtering method is proposed. The new method consists of two essential parts - an instantaneous frequency estimator based on conditional mean frequency, which is used for coherent modulation analysis, and a multi-component decomposition based on spectrogram peak tracking, which is used to separate multiple modulation components in signals. An important modulation filtering property, frequency shift invariance, is achieved with the new proposed method.