Analysis and synthesis of speech using least <Emphasis Type="Italic">P</Emphasis>th norm filter design |
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Authors: | M Y Gokhale Daljeet Kaur Khanduja |
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Affiliation: | (1) Department of Mathematics, Maharashtra Institute of Technology, Kothrud, Pune, 38, India;(2) Department of Mathematics, Sinhgad Academy of Engineering, Kondhwa, Pune, 48, India |
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Abstract: | In this paper we analyze the combination of speech and FIR filter design aspect to achieve good results in speech quality.
A new approach in the time domain based on the least Pth norm is presented to extract maximum information that represents speech. The aim of this paper is to improve the perceived
quality of speech through the introduction of least Pth norm algorithm that attenuates speech contaminated with noise. This approach relates to a filter bank structure and a method
for filtering and separating an information signal into different bands, particularly for filtering and separation of speech
signals. Then the desired signal is reconstructed from the independent components representing every band. This approach differs
from the traditional approaches since no priori knowledge of the noise statistics is required, instead the noise signals are
only assumed to have finite energy. Since the estimation criterion for the filter design is to minimize the worst possible
amplification of the estimation error signal in terms of modeling errors and additive noise, this approach is highly robust
and appropriate in practical speech analysis and synthesis. This paper presents a least Pth approach to the optimal design of FIR digital filter banks in the minimax sense for speech analysis and synthesis. The
signal to noise ratio (SNR) of around 50–60 dB is achieved with various speech samples. |
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Keywords: | Pth norm Analysis Synthesis |
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