Single channel speech separation with a frame-based pitch range estimation method in modulation frequency

Computational Auditory Scene Analysis (CASA) has attracted a lot of interest in segregating speech from monaural mixtures. In this paper, we propose a new method for single channel speech separation with frame-based pitch range estimation in modulation frequency domain. This range is estimated in each frame of modulation spectrum of speech by analyzing onsets and offsets. In the proposed method, target speaker is separated from interfering speaker by filtering the mixture signal with a mask extracted from the modulation spectrogram of mixture signal. Systematic evaluation shows an acceptable level of separation comparing with classic methods

Frequency Reassignment for Coherent Modulation Filtering

Modulation filtering is a technique for filtering slowly-varying envelopes of frequency subbands of a signal, without affecting the signal’s phase and fine-structure. Coherent modulation filtering is a promising subtype of such techniques where subband envelopes are determined through demodulation of the subband signal with a coherently detected subband carrier. In this paper we propose a coherent modulation filtering technique that detects the carriers using the frequency reassignment (FR) operator from timefrequency reassignment. We show how this technique avoids the use of finite differences in the computation of instantaneous frequency (IF), and that it estimates IF more accurately than a past technique as a result. We confirm that the FR-enhanced technique retains the desirable modulation filtering properties (superposition and the preservation of zero-crossings) and show that it performs better on the same single-channel music source separation task than the past technique. 1