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It is known that the perceived loudness of a tone signal by a human is spectrally masked by background noise. This masking effect causes not only a shift of just-audible sound pressure level of the tone, but also produces a masked loudness function having steeper slope than the unmasked one. This masking property of perceived loudness stimulates us to(More)
Recommended by Douglas O'Shaughnessy This paper presents a novel model compensation (MC) method for the features of mel-frequency cepstral coefficients (MFCCs) with signal-to-noise-ratio-(SNR-) dependent nonuniform spectral compression (SNSC). Though these new MFCCs derived from a SNSC scheme have been shown to be robust features under matched case, they(More)
This paper proposes a novel model compensation method for a robust feature extraction technique based on SNR-dependent nonuniform spectral compression (SNSC). The SNSC method is a spectral transformation which resembles human's intensity-to-loudness conversion and de-emphasizes the contributions from noisy spectral components to features. In this paper, we(More)
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