Speaker Recognition based on Relative Spectral Methodology A simple and effective code for RASTA-PLP Speaker Identification.
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Speaker Recognition based on Relative Spectral Methodology Ranking & Summary

Speaker Recognition based on Relative Spectral Methodology Tags

speaker Algorithm recognition media speaker function robustic speaker Speaker Server plp to m3u Speaker Recognition Relative Spectral Methodology Perceptual Linear Predicative

Speaker Recognition based on Relative Spectral Methodology Description

The Perceptual Linear Predicative (PLP) speech analysis technique is based on the short-term spectrum of speech. Even though the short-term spectrum of speech is subsequently modified by several psychophysically based spectral transformations, the PLP technique (just like most other short-term spectrum based techniques), is vulnerable when the short-term spectral values are modified by the frequency response of the communication channel. Human speech perception seems to be less sensitive to such steady-state spectral factors. We have implemented the RelAtive SpecTrAl (RASTA) methodology which makes PLP (and possibly also some other short-term spectrum based techniques) more robust to linear spectral distortions. Experimental results using telephone-quality isolated digits and hìgh-quality continuous speech show significant improvements in error rate. Give it a try to see what it's really capable of!

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