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The usual process for data sonification is directing digital media of a dataset through a software synthesizer and into a digital-to-analog converter to produce sound for humans to experience. [1] [2] [3] Benefits to interpreting data through sonification include accessibility, pattern recognition, education, and artistic expression. [4]
One of the earliest examples of using sound to represent data is the dosimeter, or Geiger counter. This instrument was designed in 1928 to indicate the amount of radioactivity in a given place ...
Geographic Origin of Music Data Set Audio features of music samples from different locations. Audio features extracted using MARSYAS software. 1,059 Text Geographic classification, clustering 2014 [138] [139] F. Zhou et al. Million Song Dataset Audio features from one million different songs. Audio features extracted. 1M Text Classification ...
MIDI music has also been used for similar reasons, but some data is lost in the conversion to MIDI from any other format, unless the music was written with the MIDI standards in mind, which is rare. Digital audio formats such as WAV, mp3, and ogg are used when the audio itself is part of the analysis. Lossy formats such as mp3 and ogg work well ...
An example of data mining related to an integrated-circuit (IC) production line is described in the paper "Mining IC Test Data to Optimize VLSI Testing." [12] In this paper, the application of data mining and decision analysis to the problem of die-level functional testing is described. Experiments mentioned demonstrate the ability to apply a ...
Audio mining is typically split into four components: audio indexing, speech processing and recognition systems, feature extraction and audio classification. [4] The audio will typically be processed by a speech recognition system in order to identify word or phoneme units that are likely to occur in the spoken content.
For example, one 640 MB compact disc (CD) holds approximately one hour of uncompressed high fidelity music, less than 2 hours of music compressed losslessly, or 7 hours of music compressed in the MP3 format at a medium bit rate. A digital sound recorder can typically store around 200 hours of clearly intelligible speech in 640 MB. [47]
Animal sound collections, managed by museums of natural history and other institutions, are an important tool for systematic investigation of signals. Many effective automated methods involving signal processing, data mining, machine learning and artificial intelligence [10] techniques have been developed to detect and classify the bioacoustic ...