A so-called modulation spectrogram is obtained from the conventional speech spectrogram by short-term spectral analysis along the temporal trajectories of the frequency bins. In its original definition, the modulation spectrogram is a highdimensional representation and it is not clear how to extract features from it. In this paper, we define a low-dimensional feature which captures the shape of...

In this article, we derive the constraints which a set of complex numbers must verify to be a consistent STFT spectrogram, i.e., to be the STFT spectrogram of an actual real-valued signal, and describe how they lead to an objective function measuring the consistency of a set of complex numbers as a spectrogram. We then present a flexible phase reconstruction algorithm based on a local approxima...

We describe a computer-based course in spectrogram reading built with the CSLU Toolkit. The principal teaching tool is SpeechView, a Toolkit component that allows students to interact with speech waveform files, spectrograms, and labels. These capabilities are essential for a course in spectrogram reading. Other Toolkit modules bring additional capabilities to the course: (1) an animated face a...

A novel technique of unmasking to repair the degradation in sources separated by spectrogram masking is proposed. Our approach is based on explicit knowledge of the musical audio at note level from a score-audio alignment, which we termed Informed Source Separation (ISS). Such knowledge allows the spectrogram energy to be decomposed into note-based models. We assume that a spectrogram mask for ...

Non-negative spectrogram factorization has been proposed for single-channel source separation tasks. These methods operate on the magnitude or power spectrogram of the input mixture and estimate the magnitude or power spectrogram of source components. The usual assumption is that the mixture spectrogram is well approximated by the sum of source components. However, this relationship additionall...

Corresponding author: Ali Sheikhani, PhD and member of Biomedical Engineering Faculty, Islamic Azad University, Science and Research branch-Tehran-Iran. Email:[email protected] Objective: To obtain abnormalities in quantitative Electroencephalography (QEEG) and to observe connectivity between electrodes in children with Asperger disorder. Method: In this study, spectrogram criteria a...

In this paper we are concerned with the properties of positivity, uncertainty principle and continuity in Lp spaces of a generalized spectrogram. In particular we study the connections of a generalized spectrogram, as a subclass of the Cohen class, with the Rihaczek and the Wigner representations. We also consider the behavior of the generalized spectrogram with respect to the positivity and th...

spectral decomposition or time-frequency representation (tfr) is a powerful tool for analyzing time varying nature of seismic data. mapping of a one dimensional seismic time trace to a two dimensional function of time and frequency reveals some characteristics of seismic signals that are not available in only time or frequency representations. this approach has been widely used in seismic explo...

In this paper, we address the challenging task of simultaneous recognition of overlapping sound events from single channel audio. Conventional frame-based methods aren’t well suited to the problem, as each time frame contains a mixture of information from multiple sources. Missing feature masks are able to improve the recognition in such cases, but are limited by the accuracy of the mask, which...

A novel method, called adaptive pulse coupled neural network (AD-PCNN) using a two-stage denoising strategy, is proposed to reduce noise and speckle in the spectrograms of Doppler blood flow signals. AD-PCNN contains an adaptive thresholding PCNN and a threshold decaying PCNN. Firstly, PCNN pulses based on the adaptive threshold filter a part of background noise in the spectrogram while isolati...