Wyniki wyszukiwania dla: AUDIO RESTORATION - MOST Wiedzy

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Wyniki wyszukiwania dla: AUDIO RESTORATION

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Wyniki wyszukiwania dla: AUDIO RESTORATION

  • Intelligent algorithms for optical track audio restoration

    W referacie przedstawiono dwa algorytmy dedykowane redukcji pasożytniczych zniekształceń dźwięku spotykanych w optycznych ścieżkach dźwiękowych. Pierwszy algorytm umożliwia redukcję szerokopasmowego szumu w nagraniach fonicznych. Wykorzystano w nim psycho-akustyczny model słuchu oparty o miarę nieprzewidywalność sygnału (ang. Unpredictability Measure). Ocena jakości redukcji szumu została wykonana z wykorzystaniem metod inteligentnych....

  • Applications of neural networks and perceptual masking to audio restoration

    Omówiono zastosowania algorytmów uczących się w dziedzinie rekonstruowania nagrań fonicznych. Szczególną uwagę zwrócono na zastosowanie sztucznych sieci neuronowych do usuwania zakłócających impulsów. Ponadto opisano zastosowanie inteligentnego algorytmu decyzyjnego do sterowania maskowaniem perceptualnym w celu redukowania szumu.

  • Testing Watermark Robustness against Application of Audio Restoration Algorithms

    Publikacja

    The purpose of this study was to test to what extent watermarks embedded in distorted audio signals are immune to audio restoration algorithm performing. Several restoration routines such as noise reduction, spectrum expansion, clipping or clicks reduction were applied in the online website system. The online service was extended with some copyright protection mechanisms proposed by the authors. They contain low-level music features...

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  • Online Sound Restoration for Digital Library Applications

    Publikacja

    A system for sound restoration was conceived and engineered having the following features: no special sound restoration software is needed to perform audio restoration by the user, the process of restoration employs automatic reduction of noise, wow and impulse distortions performed in the online mode, no skills in digital signal processing from the user are needed. The principles of the created system and its features as well...

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  • Localization of impulsive disturbances in audio signals using template matching

    In this paper, a new solution to the problem of elimination of impulsive disturbances from audio signals, based on the matched filtering technique, is proposed. The new approach stems from the observation that a large proportion of noise pulses corrupting audio recordings have highly repetitive shapes that match several typical “patterns”. In many cases a representative set of exemplary pulse waveforms can be extracted from the...

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  • Online sound restoration system for digital library applications

    Audio signal processing algorithms were introduced to the new online non-commercial service for audio restoration intended to enhance the content of digitized audio repositories. Missing or distorted audio samples are predicted using neural networks and a specific implementation of the Jannsen interpolation method based on the autoregressive model (AR) combined with the iterative restoring of missing signal samples. Since the distortion...

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  • Online sound restoration system for digital library applications.

    Audio signal processing algorithms were introduced to the new online non-commercial service for audio restoration intended to enhance the content of digitized audio repositories. Missing or distorted audio samples are predicted using neural networks and a specific implementation of the Jannsen interpolation method based on the autoregressive model (AR) combined with the iterative restoring of missing signal samples. Since the distortion...

  • Further Developments of the Online Sound Restoration System for Digital Library Applications

    Publikacja

    New signal processing algorithms were introduced to the online service for audio restoration available at the web address: www.youarchive.net. Missing or distorted audio samples are estimated using a specific implementation of the Jannsen interpolation method. The algorithm is based on the autoregressive model (AR) combined with the iterative complementation of signal samples. Since the interpolation algorithm is computationally...

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  • Localization of impulsive disturbances in archive audio signals using predictive matched filtering

    Publikacja

    The problem of elimination of impulsive disturbances from archive audio signals is considered and its new solution, called predictive matched filtering, is proposed. The new approach is based on the observation that a large percentage of noise pulses corrupting archive audio recordings have highly repetitive shapes that match several typical “patterns”, called click templates. To localize noise pulses, click templates can be correlated...

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  • Sound engineering as our commitment to its creators in Poland

    Sound engineering is an interdisciplinary and rapidly expanding domain. It covers many aspects, such as sound perception, studio and sound mastering technology, music information retrieval including content-based search systems and automatic music transcription frameworks, sound synthesis, sound restoration, electroacoustics, and other ones constituting multimedia technology. Moreover, machine learning methods applied to the topics...

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  • Reduction of parasitic pitch variations in archival musical recordings

    A new method for reducing parasitic pitch variations in archival audio recordings is presented. The method is intended for analyzing movie soundtracks recorded in optical films. It utilizes image processing for calculating and reducing effects of tape shrinkage being one of the main reasons for parasitic pitch variations in audio accompanying moving images. As long as the film tape characteristics are known the new method can be...

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