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Pitch estimation in diverse naturalistic audio streams remains a challenge for speech processing and spoken language technology. In this study, we investigate the use of robust harmonic features for classification-based pitch estimation. The proposed pitch estimation algorithm is composed of two stages: pitch candidate generation and target pitch selection. Based on energy intensity and spectral envelope...
In this paper, we propose a fundamental frequency (F0) estimation algorithm for noisy speech based on exploring the local time-frequency (TF) segment. Our algorithm is motivated by the fact that the full band speech signal is redundant for pitch perception. We assume that in the same time region, the TF segment least affected by noise interference is more reliable for F0 estimation than the full band...
Single channel music separation is a useful but difficult problem in audio signal processing field. In this paper a new method is proposed. The method consists of three stages: estimating the harmonic structure of each source in every frame based on iteration of the mixed spectral peaks, clustering the estimated harmonics into the signals they belong to with pitch and formant information, and synthesizing...
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