Data processing: speech signal processing – linguistics – language – Speech signal processing – For storage or transmission
Reexamination Certificate
2006-01-17
2006-01-17
Ometz, David L. (Department: 2655)
Data processing: speech signal processing, linguistics, language
Speech signal processing
For storage or transmission
C704S200000
Reexamination Certificate
active
06988066
ABSTRACT:
A system and method are disclosed for extending the bandwidth of a narrowband signal such as a speech signal. The method applies a parametric approach to bandwidth extension but does not require training. The parametric representation relates to a discrete acoustic tube model (DATM). The method comprises computing narrowband linear predictive coefficients (LPCs) from a received narrowband speech signal, computing narrowband partial correlation coefficients (parcors) using recursion, computing Mnbarea coefficients from the partial correlation coefficient, and extracting Mwbarea coefficients using interpolation. Wideband parcors are computed from the Mwbarea coefficients and wideband LPCs are computed from the wideband parcors. The method further comprises synthesizing a wideband signal using the wideband LPCs and a wideband excitation signal, highpass filtering the synthesized wideband signal to produce a highband signal, and combining the highband signal with the original narrowband signal to generate a wideband signal. In a preferred variation of the invention, the Mnbarea coefficients are converted to log-area coefficients for the purpose of extracting, through shifted-interpolation, Mwblog-area coefficients. The Mwblog-area coefficients are then converted to Mwbarea coefficients before generating the wideband parcors.
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AT&T Corp.
Jackson Jakieda
Ometz David L.
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