DSPP Application (IEEE Paper)

Paper Review

IEEE Paper: Theoretical And Experimental Bases Of A New Method For Separation Of Harmonic And Noise Components Of Speech Signals 

Review:

This paper addresses the problem of separating the noise components from the harmonic components of speech signals describing two traditional methods of improvement of speech signals: first is the period-scaled synchronous analysis of amplitude and phase (which uses Short-Time Fourier Transform for analysis) and second, separation based on a low pass time-filtering of the above parameters. In addition to presenting the theory of the proposed method it also proves through preliminary experiments on synthetic speech, that this method has potential to significantly outperform the reference method based on STFT (Short-Time Fourier Transform). The new theory of noise filtering is called as the H/N (Harmonic-Noise) theory which aims to focus at the period scale. This method is both time and frequency domain as it refers to the Fourier series expansion of each signal period instead of the usual STFT approach. The experimental result gives typical signal to error ratio gains of 5dB. Apart from this, the paper also discusses conditions which can bring this practical value of gain closer to the theoretical value.