This paper proposes an algorithm to perform monaural speech source separation by means of time-frequency masking. The algorithm is based on the estimation of the power spectrum of the original speech signals as a combination of a carrier signal multiplied by an envelope. A Multi-Frequency Harmonic Product Spectrum (MF-HPS) algorithm is used to estimate the fundamental frequency of the signals in the mixture. These frequencies are used to estimate both the carrier and the envelope from the mixture. Binary masks are generated comparing the estimated spectra of the signals. Results show an important improvement in the separation in comparison to the original algorithm that only uses the information from the HPS.
Ayllon, David; Gil-Pita, Roberto; Rosa-Zurera, Manuel
Affiliation: University of Alcala, Alcalá de Henares, Spain
AES Convention: 134 (May 2013) Paper Number: 8832
Publication Date: May 4, 2013
Subject: Speech Processing
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