Title :
Statistical recovery of wideband speech from narrowband speech
Author :
Cheng, Yan Ming ; O´Shaughnessy, Douglas ; Mermelstein, Paul
Author_Institution :
Bell-Northern Res., Nuns´´ Island, Que., Canada
fDate :
10/1/1994 12:00:00 AM
Abstract :
We present an algorithm to generate wideband speech from a narrow band version of the same. The main body of the algorithm is a statistical recovery function (SRF), which predicts the highband spectrum based solely on the narrowband spectrum. The performance of the algorithm has been measured both in terms of spectral distortion and spectral signal-to-noise ratio (SNR). We obtained a 3 dB gain in SNR for the reconstructed wideband speech as compared to the narrowband speech
Keywords :
spectral analysis; speech analysis and processing; statistical analysis; SNR; algorithm; highband spectrum; narrowband spectrum; narrowband speech; performance; spectral distortion; spectral signal-to-noise ratio; statistical recovery function; wideband speech; Distortion measurement; Economic forecasting; Iterative algorithms; Joining processes; Narrowband; Nonlinear distortion; Probability; Speech analysis; Transmission lines; Wideband;
Journal_Title :
Speech and Audio Processing, IEEE Transactions on
