Abstract
This paper addresses the problem of reconstructing wideband speech signals from observed narrowband speech signals. The goal of this work is to improve the perceived quality of speech signals which have been transmitted through narrowband channels or degraded during acquisition. We describe a system, based on linear predictive coding, for estimating wideband speech from narrowband. This system employs both previously identified and novel techniques. Experimental results are provided in order to illustrate the system's ability to improve speech quality. Both objective and subjective criteria are used to evaluate the quality of the processed speech signals.
Highlights
In voice communications, the quality of received speech signals is highly dependent on the received signal bandwidth
Testing of the wideband speech recovery system has been performed in MATLAB using speech samples obtained from the TIMIT speech corpus
The numbers of linear predictive coefficients (LPCs) used for the Itakura-Saito distortion measure have been selected to make fast Fourier transform (FFT) computations more convenient
Summary
The quality of received speech signals is highly dependent on the received signal bandwidth. One way to compensate for these effects is to efficiently encode the speech at the transmitter so that less channel bandwidth is required to transmit the same amount of information. This requires that the receiver have an appropriate decoder to recover the original signal. Because of this burden on both the receiver and transmitter, the use of wideband vocoding techniques is difficult to apply to systems that have already been standardized (e.g., analog telephone communications). It would be more convenient to devise a system at the receiver that could regenerate the lost high-frequency content
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