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Artificial BandWidth Extension (ABWE) of speech signals aims to estimate wideband speech (50 Hz - 7 kHz) from narrowband signals (300 Hz - 3.4 kHz). Applying the source-filter model of speech, many existing algorithms estimate vocal tract filter parameters independently of the source signal. However, many current methods for extending the narrowband voice source signal are limited to straightforward signal processing techniques which are only effective for high-band estimation. This paper presents a method for ABWE that employs novel data-driven modeling and an existing spectral mirroring technique to estimate the wideband source signal in both the high and low extension bands.
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