Interactive realtime tools for education were developed making use of Matlab GUI functions. They are a) a realtime spectrogram with narrowband, wideband and perceptual frequency resolution axes, b) a realtime spectrum monitoring followed by an interactive spectrogram display with sound playback of a rectangular time-frequency region and scrubbing inspection, c) realtime vocal tract shape displa...

We describe a method for local time-adaptation of the spectrogram of audio signals: it is based on the decomposition of a signal within a Gabor multi-frame of raised cosine windows through the STFT operator. The sparsity of the analyses in every single frame of the multiframe is evaluated through the Rényi entropies measures. We give an analytical expression for the entropy of the spectrogram o...

We investigated V-V hiatus through J-ToBI labeling and listening to whole phrases to estimate degree of discontinuity and to determine the exact boundary between two phrases if possible. Appropriate boundaries were found in most cases as the maximum perceptual score. Using electroglottography (EGG) and spectrogram, the acoustic phonological feature of these V-V hiatus was phrase-initial glottal...

This paper proposes a novel filter bank composed of dominant Spectral Basis Vectors (SBVs) in a spectrogram. Spectral envelopes represented by the SBVs have shown to be excellent characteristic features for discriminating different acoustic events in noisy environment. Non-negative Matrix Factorization (NMF) and non-negative K-SVD (NKSVD) for part-based and holistic representations extract domi...

Despite the rapid advances in Brain-computer Interfacing (BCI) and continuous effort to improve the accuracy of brain decoding systems, the urge for the systems to reconstruct the experiences of the users has been widely acknowledged. This urge has been investigated by some researchers during the past years in terms of reconstruction of the naturalistic images, abstract images, video and audio....

We present a new method for automatically filling in gaps of textural sounds. Our approach is to transform the signal to the time-frequency space, fill in the gap, and apply the inverse transform to reconstruct the result. The complex spectrogram of the signal is partitioned into separate overlapping frequency bands. Each band is fragmented by segmentation of the time-frequency space and a part...

The paper introduces a new kernel for the design of a high resolution time–frequency distribution (TFD). We show that this distribution can solve problems that the Wigner–Ville distribution (WVD) or the spectrogram cannot. In particular, the proposed distribution can resolve two close signals in the time–frequency domain that the two other distributions cannot. Moreover, we show that the propos...