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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]
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 with the human ear but may be missing crucial data for study. Additionally some encodings create artifacts which could be misleading to any automatic analyser.
Video of air pollution data from Beijing being conveyed as a piece of music. Sonification is the use of non-speech audio to convey information or perceptualize data. [1] Auditory perception has advantages in temporal, spatial, amplitude, and frequency resolution that open possibilities as an alternative or complement to visualization techniques.
Digital audio is also the name for the entire technology of sound recording and reproduction using audio signals that have been encoded in digital form. Following significant advances in digital audio technology during the 1970s and 1980s, it gradually replaced analog audio technology in many areas of audio engineering , record production and ...
Two significant categories to what we hear and pay attention to are natural and technological sounds. According to R. Murray Schafer (through a survey of quotes in the literature), the proportion of nature sounds heard and noticed among European authors has decreased over the past two centuries from 43% to 20%, but not for North America, where it has stayed around 50%.
Early digital audio machines had disappointing results, with digital converters introducing errors that the ear could detect. [36] Record companies released their first LPs based on digital audio masters in the late 1970s. CDs became available in the early 1980s. At this time analog sound reproduction was a mature technology.
Computer audition (CA) or machine listening is the general field of study of algorithms and systems for audio interpretation by machines. [1] [2] Since the notion of what it means for a machine to "hear" is very broad and somewhat vague, computer audition attempts to bring together several disciplines that originally dealt with specific problems or had a concrete application in mind.
Audio analysis refers to the extraction of information and meaning from audio signals for analysis, classification, storage, retrieval, synthesis, etc.The observation mediums and interpretation methods vary, as audio analysis can refer to the human ear and how people interpret the audible sound source, or it could refer to using technology such as an audio analyzer to evaluate other qualities ...
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