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BAndwidth Expansion of Narrowband Speech Using Non-Negative Matrix Factorization

Overview This paper presents a novel technique for the estimation of the high frequency components (4-8kHz) of speech signals from narrow-band (0-4 kHz) signals using convolutive Non-Negative Matrix Factorisation (NMF). The proposed technique utilizes a brief recording of simultaneous broad band and narrow band signals from a target speaker to learn a set of broad-band non-negative bases for the speaker. The low-frequency components of these bases are used to determine how the high-frequency components must be combined in order to reconstruct the high-frequency components of new narrow-band signals from the speaker. Experiments reveal that the technique is able to reconstruct broadband speech that is perceptually virtually indistinguishable from true broadband recordings.

Further White Paper Details
PublisherMitsubishi Electric Research Laboratories File FormatPDF
Date PublishedSeptember 2005
FormatWhite Papers   
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