1.1. Evaluation of music dynamics The background for this paper is previous performed experiments on subjective evaluation of listening responses to live music with special focus on loudness (”musical strength”) and music dynamics. The question is weather or not it is possible to subjectively ”integrate” and pronounce some reliable and meaningful quantitative measure of loudness after having li...

A novel opportunity to transform eye movements into useful knowledge is to use the eye movement data to perform musical and multimedia compositions. Eye-controlled performance interfaces require new multimediabased communication, such as between between eye tracking devices and multimedia authoring environments. This paper presents EyeMusic, an integrated environment for developing eye-controll...

Degrading the quality and intelligibility of the speech signals, background noise is a severe problem in communication and other speech related systems. In order to get rid of this problem, it is important to enhance the original speech signal mainly through noise reduction. Speech enhancement is the term used to describe such algorithms and devices whose purpose is to improve some perceptual a...

An auditory-motivated noise reduction methodology is proposed based on the inhibitory property of the human auditory system. The proposed psychoacoustic spectral subtraction method utilizes non-linearly and spatially distributed inhibitory weights which are determined based on the critical bands of the auditory system. Moreover, the weights are adjusted based on the segmental a posteriori SNR, ...

Noise generated by the audience during musical performances is audible and sometimes disturbing. In this study, an attempt to estimate such audience noise was carried out. From the recordings of performances in five performance spaces (four concert halls and one opera house), probability density functions of the sound pressure levels were obtained in octave bands, which were fitted with three G...

We propose three new adaptive noise suppression algorithms for enhancing noise-corrupted speech: smoothed spectral subtraction (SSS), vector quantization of line spectral frequencies (VQ-LSF), and modiied Wiener ltering (MWF). SSS is an improved version of the well-known spectral subtraction algorithm, while the other two methods are based on generalized Wiener ltering. We have compared these t...

The major drawback of most noise reduction methods in speech applications is the annoying residual noise known as musical noise. A potential solution to this artifact is the incorporation of a human hearing model in the suppression filter design. However, since the available models are usually developed in the frequency domain, it is not clear how they can be applied in the signal subspace appr...

In this paper we introduce a novel adaptive beamformer which also copes with incoherent background noise. After derivation of the optimum filter based on a weighted time-domain least-squares error criterion we present an efficient realization by applying a multichannel frequency-domain algorithm exhibiting RLS-like convergence. For the computation of this algorithm a simultaneous estimation of ...

In this paper, we propose a full-reference objective quality evaluation method for noise-reduced speech. In the proposed method, acoustical features are extracted from input noisereduced speech and its original clean version, and then the speech quality and the noise quality are estimated separately from these features. Finally, the overall quality is determined from the estimates of the speech...