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In this paper, an analysis of flute attacks processed by a model of the physiological auditory system is presented. In flute performance, the musician uses consonants (/d/, /g/, /k/, /t/ and /p/) in order to create particular effects as hard and soft attacks. These effects are very important in music interpretation. We found that the model discriminates the sounds very well and better than spectral analysis as worked out by standard methods. The model responses appeared very detailed and allowed attack classification by the application of very simple pattern recognition techniques.

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This paper presents the results of an experiment aimed to evaluate the quality of different audio restoration algorithms based on different Short Time Spectral Attenuation methods. To single out the best computational methodologies for audio restoration an experiment was made, implementing a software (in DirectX plug-in form) which uses different algorithms. The software, working in real time, permits to compare the different algorithms in a objective way: in fact, it is possible to use the same software environment to operate the restorations with different algorithms. In this way, is feasible to compare different methods. In the paper we will first shortly overview the most used audio restoration methods and, in particular, the algorithms implemented in our software. Then we will present a timefrequency analysis of the restored stimuli to show the main advantages and drawbacks of the different algorithms used.

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In this paper we present the results of the code optimization for the HVXC MPEG-4 speech coder. Two kinds of bit-rate formats are considered: 2 and 4 kbit/s. After a short description of the HVXC main features, results of code optimization are reported: the real time implementationon, on a floating point DSP, of three parallel 2 kbit/s or two parallel 4 kbit/s HVXC coders, is shown to be possible.

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