Although the power spectral subtraction (PSS) in frequency domain and the soft/hard thresholding function in wavelet domain have been successfully applied in speech enhancement, however they increase the probability of negative error and generate musical residual noise. In this paper, we propose a novel scheme that adapts the weight to wavelet coefficients (WCs) for each subband. The weights of...

Removing noise from audio signals requires a non diagonal processing of time-frequency coefficients to avoid producing “Musical noise”. State of the art algorithms perform a parameterized filtering of spectrogram coefficients with empirically fixed parameters. A block thresholding estimation procedure is introduced, which adjusts all parameters adaptively to signal property by minimizing a Stei...

Understanding speech in noise is one of the most complex activities encountered in everyday life, relying on peripheral hearing, central auditory processing, and cognition. These abilities decline with age, and so older adults are often frustrated by a reduced ability to communicate effectively in noisy environments. Many studies have examined these factors independently; in the last decade, ho...

In analysis-synthesis of musical sounds based on a sinu-soidal model, the diierence between the original signal and the synthesized signal, termed the residual, is typically a broadband noise process. It contains such musical phenomena as ute breath noise or violin bow noise. Synthesis without such \noise" tends to sound artiicial; it is desirable to improve the synthesis realism by modeling th...

Recommended by Satya Dharanipragada Wavelet denoising is commonly used for speech enhancement because of the simplicity of its implementation. However, the conventional methods generate the presence of musical residual noise while thresholding the background noise. The unvoiced components of speech are often eliminated from this method. In this paper, a novel algorithm of wavelet coefficient th...

When understood as a communication system, a musical work can be interpreted as data existing within three domains. In this interpretation an absolute domain is interposed as a communication channel between two programatic domains that act respectively as source and receiver. As a source, a programatic domain creates, evolves, organizes, and represents a musical work. When acting as a receiver ...

Timbre recognition has always been associated with musical instrument identification. In music information retrieval (MIR) community there has always been increasing interest in identifying singers and identifying the musical instruments. There can be unending debate on, whether to consider human throat as a kind of musical instrument generating sound through air pressure and vibration or not. ...

In an automotive environment, quality of speech communication using a hands-free equipment is often deteriorated by interfering car noise. In order to preserve the speech signal without car noise, a multichannel speech enhancement system including a beamformer and a post-filter can be applied. Since employing a beamformer alone is insufficient to substantially reducing the level of car noise, a...

Blind source separation (BSS) methods are useful tools to recover or enhance individual speech sources from their mixtures in a multi-talker environment. A class of efficient BSS methods are based on the mutual exclusion hypothesis of the source signal Fourier spectra on the timefrequency (TF) domain, and subsequent data clustering and classification. Though such methodology is simple, the disc...

Brain correlates comparing pleasant and unpleasant states induced by three dissimilar masterpiece excerpts were obtained. Related emotional reactions to the music were studied using Principal Component Analysis of validated reports, fMRI, and EEG coherent activity. A piano selection by Bach and a symphonic passage from Mahler widely differing in musical features were used as pleasing pieces. A ...