IEEE Signal Processing Letters · 1996 · 63 citations · 4 references
ComputingSpeech-language PathologyAcousticsComputational AcousticsPhoneticsAcoustic PhoneticsSpectral AnalysisSpeech AcousticsSpeech RecognitionCepstral CoefficientsRegularizationRegularization TechniquesSpectral Analysis Of SpeechSpectral DistortionSpectral EnvelopeSpectral EstimationSpectral Tilt
Traditional spectral envelope estimation methods suffer from significant drawbacks in (high-pitched) voiced segments: spectral peaks tend to be biased toward pitch harmonics. To alleviate this drawback, discrete modeling techniques have been proposed. The discrete cepstrum method consists in fitting a spectral envelope parameterized by cepstrum coefficients to a discrete set of spectral points using a log-spectral distortion criterion. Unfortunately, this estimation problem is ill conditioned in many cases of interest. The article introduces a simple regularization technique that guarantees that the spectral envelope is well behaved. A modification of the basic regularization criterion is proposed in order to take into account a possible prior knowledge of the spectral tilt of the envelope.
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Solutions of Ill-Posed Problems.
John B. Bell, V. Y. Arsenin · Mathematics of Computation · 1978 · 8.2K citations
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