• Audio Visualization – Noises on my Window

    Posted on January 30, 2012 by in Uncategorized


    I build an audio visualization based on four different audio files. The screen shows a series of light streams, and each of them is mapped to a specific audio file. The four audio samples were recorded at the window of my room from Thursday through Sunday. By examining each sample individually, it becomes evident the sample from Friday has the greatest stream. In contrast, the audios taken during the weekend have the dimmest light.

    These are the audios:

    Thursday, January 26

    Audio clip: Adobe Flash Player (version 9 or above) is required to play this audio clip. Download the latest version here. You also need to have JavaScript enabled in your browser.

    Friday, January 27

    Audio clip: Adobe Flash Player (version 9 or above) is required to play this audio clip. Download the latest version here. You also need to have JavaScript enabled in your browser.

    Saturday, January 28

    Audio clip: Adobe Flash Player (version 9 or above) is required to play this audio clip. Download the latest version here. You also need to have JavaScript enabled in your browser.

    Sunday, January 29

    Audio clip: Adobe Flash Player (version 9 or above) is required to play this audio clip. Download the latest version here. You also need to have JavaScript enabled in your browser.

    The following chart illustrates the aspects relevant to each recording:

    Chart_Representation

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