FFT-BASED SPECTRO-TEMPORAL ANALYSIS AND SYSTNESIS OF SOUNDS

Abstract

The concept of the two-dimensional spectro-temporal modulation filtering of the auditory model [1] is implemented for the FFT spectrogram. It analyzes the spectrogram in terms of the temporal dynamics and the spectral structures of the sound. The overlap and add (OLA) method, which is more convenient and reliable than the iterative-projection method proposed in [1], is used to invert the FFT spectrogram back to sounds. The Non-Negative Sparse Coding (NNSC) method is adopted to demonstrate the benefit of our analysis-synthesis procedures in a noise suppression application. Even without fine-tuning parameters, our proposed analysis-synthesis procedures offer benefits in de-noising especially under low SNR conditions.