‘1/fnoise’ in music and speech
By R. F. Voss, John Clarke. 1975
Subfields: Statistics and Probability, Speech & Audio
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Citations in the corpus
- Low-frequency 1/f noise in graphene devices. (2013, background): “discovered in vacuum tubes [1] and later observed in a diverse array of systems [2-5].”
- Efficient coding of natural sounds (2002, background): “One argument for explaining the increase in filter bandwidth with center frequency is based on the observation that the average power spectrum for speech, music, and some natural sounds is approximately 1/f [25, 26].”
- Analyzing Neural Responses to Natural Signals: Maximally Informative Dimensions (2002, background): “7(a), which are qualitatively similar to those of light intensities in natural scenes (Voss & Clarke, 1975; Ruderman, 1994).”
- Neural processing of amplitude-modulated sounds. (2004, background): “Voss and Clarke (288) computed temporal correlations of music passages and discovered a 1/f scaling relation over a few decades.”
- Rhythms of the brain (2006, background): “Voss and Clark (1975). 27. Interestingly, the complex predictability of sounds applies to monkeys, dogs, and other animals, as well, in which the pleasantness–annoyance dimension can be behaviorally measured. The psychologist Anthony Wright claims that rhesus monkeys hear music and other sounds in m”
- The temporal structures and functional significance of scale-free brain activity (2010, unknown): “This systematic disregard of ‘‘1/f noise’’ is partly due to its ubiquitous presence in nature, including earthquakes, solar flares, economics, evolution, ecology, epidemics, electronics, speech, and music (Bak, 1996; Gisiger, 2001; Hsü and Hsü, 1991; Voss and Clarke, 1975), which often leads to do”
- Neural mechanisms of time-forward predictions for naturalistic auditory tone sequences (2026, unknown): “We presented participants with naturalistic auditory tone sequences with pitch fl uctuations exhibiting statistical regularities similar to those prevalent in natural stimuli 14,15 .”