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Improved line spectral frequency estimation through anti-aliasing filtering

Improved line spectral frequency estimation through anti-aliasing filtering

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A study of the classic line spectral frequency (LSF) extraction methods along with the assumptions made during their estimation is presented. LSF extraction is investigated from an over-sampling and decimation perspective and LSFs are shown to contain high-frequency variations that led to spectral overlapping problems. An anti-aliasing filter prior to decimation, with a cut-off frequency dependent on the final LSF vector transmission rate, is proposed to alleviate the aliasing problem of the classic extraction methods. The proposed method shows a clear advantage because it produces the same quantisation distortion as the classic methods at a lower bit requirement, with significant reduction in 2 and 4 dB outliers that greatly affect synthesised speech quality. This was also confirmed through a listening test.

Inspec keywords: spectral analysis; feature extraction; frequency estimation; quantisation (signal); speech processing; filtering theory

Other keywords: LSF extraction; decimation perspective; anti-aliasing filtering; line spectral frequency estimation; spectral overlapping problems; over-sampling perspective; quantisation distortion; synthesised speech quality

Subjects: Other topics in statistics; Other topics in statistics; Signal processing theory; Filtering methods in signal processing; Speech and audio signal processing

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