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A method is presented for restoration of noisy bandlimited archived speech records. Speech is modeled with a formant-tracking linear prediction (FTLP) model of the spectral envelope and a harmonic noise model (HNM) of the excitation. The time-varying trajectories of the parameters of the LP and HNM models are tracked with Viterbi classifiers and denoised with Kalman filters. A frequency domain pitch...
This paper presents a post-processing speech restoration module for enhancing the performance of conventional speech enhancement methods. The restoration module aims to retrieve parts of speech spectrum that may be lost to noise or suppressed when using conventional speech enhancement methods. The proposed restoration method utilizes a harmonic plus noise model (HNM) of speech to retrieve damaged...
This paper presents a method for restoration of the missing bandwidth of narrowband speech signals. Speech is decomposed into a linear prediction (LP) model of the spectral envelop and a harmonic plus noise model (HNM) of speech excitation. The LP spectral envelope and HNM excitation parameters of the narrowband speech are extrapolated using codebooks trained on narrowband and wideband speech. A novel...
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