5 accepted papers
In this paper we present the differentiable log-Mel spectrogram (DMEL) for audio classification. DMEL uses a Gaussian window, with a window length that can be jointly optimized with the neural network. DMEL is used as the input layer in different neural networks and evaluated on standard audio datas…
The reassignment vectors of the matched reassigned spectrogram (MRS) have shown to be sensitive to noise, with resulting degraded precision in the time-frequency localization. In this paper we propose a multitaper reassignment (mtRS) method for estimation of time- and frequency locations of Gaussian…
The traditional parametric approach to Granger causality (GC), based on linear vector autoregressive modeling, suffers from difficulties related to the inaccurate modeling of the generative process. These limits can be solved by using nonparametric spectral estimates in the frequency-domain formulat…
In this paper, the matched reassigned spectrogram is expanded into a novel matched phase reassignment (MPR) method based on the reassigned cross-spectrogram. It is shown that for two phase synchronized oscillating transient signals, the method gives perfect time-frequency (TF) localization. The MPR…
Previous studies have shown that measurements of beluga whale (Delphinapterus leucas) and bottlenose dolphin (Tur-siops truncatus) echolocation signals at off-axis angles may be well modeled using a Gaussian bell function or a chirped Gaussian function as envelope. In this paper, we apply a novel te…