title: Speech enhancement using a structured codebook.
abstract: Codebook-based speech enhancement methods that use trained codebooks of speech and noise spectra provide good performance even under non-stationary noise conditions. A drawback, however, is their high computational cost. For every pair of speech and noise codebook vectors, a likelihood score indicating how well that pair matches the observation is computed. In this paper, a method that identifies and performs only relevant likelihood computations by imposing a hierarchical structure on the speech codebook is proposed. The performance of the proposed method is shown to be close to that of the original scheme but at a significantly lower computational cost.
authors.affiliation: Sri Sathya Sai Institute of Higher Learning, Prasanthi Nilayam AP 515134, India. dhanumantharao@sssihl.edu.in
authors.forename: D Hanumantha Rao
authors.initials: DH
authors.lastname: Naidu
authors.forename: Sriram
authors.initials: S
authors.lastname: Srinivasan
authors.forename: G V Prabhakara
authors.initials: GV
authors.lastname: Rao
mesh_terms: D000465:Algorithms; D003198:Computer Simulation; D006801:Humans; D016013:Likelihood Functions; D015233:Models, Statistical; D009622:Noise / Q000009:adverse effects*; D009716:Numerical Analysis, Computer-Assisted; D012815:Signal Processing, Computer-Assisted; D059629:Signal-To-Noise Ratio; D013060:Speech; D013068:Speech Production Measurement / Q000379:methods*