IEEE International Conference on Acoustics Speech and Signal Processing · 1993 · 13 citations · 13 references
ComputingComputer ScienceComputational AcousticsPsychoacousticsTime Series AnalysisDigital Signal ProcessingPattern RecognitionSignal ProcessingSpeech AcousticsSpeech Intelligibility EnhancementSpeech RecognitionCepstral AnalysisCepstral CoefficientsCepstral FeaturesLinear PredictionNoise Robust Speech AnalysisNoise RobustnessSpectral Analysis Of SpeechSpeech Signal Processing
The authors propose the use of a Root homomorphic approach instead of the classical Log in order to improve cepstral representation in noise. Recognition tests demonstrate the robustness of the Root-based analysis for noisy speech processing. It is shown that Root cepstral coefficients permit a heuristic extension of noise subtraction techniques into the cepstral domain. Finally, the authors extend their work to LP (linear prediction)-based cepstral analysis and show that the Root approach gives equivalent results when comparing direct (LFCC) and LP-based (LPCC) analysis schemes. A unified model is proposed, and it is concluded that both classical LPCC and LFCC analyses are suboptimal solutions of the authors' more general scheme.< <ETX xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">></ETX>
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