It is known that signals obtained from the real world environment are corrupted by the noise. This noise causes poor performance of the relevant system and therefore must be removed effectively before further processing of signal. Research in the area of wavelets showed that wavelet shrinkage method performs well and efficiently as compared to other methods of denoising. In this paper, a compar...

We analyze time series of Strombolian volcanic tremor, focusing our attention on the frequency band [0.1– 0.5] Hz (very long period (VLP) tremor). Although this frequency band is largely affected by noise, we evidence two significant components by using Independent Component Analysis with the frequencies, respectively, of ∼0.2 and ∼0.4 Hz. We show that these components display wavefield feature...

In this contribution we propose an a priori signal-to-noise ratio (SNR) estimator based on a probabilistic speech model. Since the a priori SNR is an important means for speech enhancement algorithms, such as weighting rule calculation for noise reduction or speech presence probability computation, its diligent estimation is of wide interest. As a basis for this estimator a Gaussian mixture mod...

This article deals with the problem of noise reduction for hands-free sound pick-up. Our context is more precisely the sound pick-up using single microphone in cars. In such environments, the speech is highly corrupted by engine and aerodynamics noises. The methods proposed here try to enhance noise reduction systems based on Wiener filtering in the frequency domain by taking into account the s...

Many new interfaces for musical expression are hand or gesture controlled. For guitarists especially, this opens new ways to control sound effects while playing live. At the same time it is a challenge regarding the conception and design of such hand-controlled effects as guitarists usually use both hands for playing. In this paper we elaborate this particular design space to support future dev...

The computer games industry has recently been producing titles in a new genre called ‘music’ that toys with engaging the user in musical expression. The technology used in these games has allowed for novel interfaces for representing musical instructions which has yet to be tried within musical practice and tuition. The games themselves have greatly simplified the instruments and the music crea...

Previous functional magnetic resonance imaging (fMRI) studies have suggested that different cerebral regions preferentially process human voice and music. Yet, little is known on the temporal course of the brain processes that decode the category of sounds and how the expertise in one sound category can impact these processes. To address this question, we recorded the electroencephalogram (EEG)...

Humans are able to find and tap to the beat of musical rhythms varying in complexity from children's songs to modern jazz. Musical beat has no one-to-one relationship with auditory features-it is an abstract perceptual representation that emerges from the interaction between sensory cues and higher-level cognitive organization. Previous investigations have examined the neural basis of beat proc...

OBJECTIVE The operatic singing technique is frequently used in classical music. Several acoustical parameters of this specific technique have been studied but how these parameters combine remains unclear. This study aims to further characterize the Western operatic singing technique by observing the effects of melody and technique on acoustical and musical parameters of the singing voice. MET...

Algorithms for the suppression of acoustic noise in speech signals are generally Short-Time Spectral Amplitude (STSA) methods such as Spectral Subtraction. These methods have been effective at reducing or removing the background noise, but have a tendency (at low SNR) to add annoying artefacts, such as musical noise, and distortion of the speech signal. By employing an auditory model, psychoaco...