Journal ArticleDOI
Synthesizing sound textures through wavelet tree learning
TLDR
A statistical learning algorithm for synthesizing new random instances of natural sounds using a granular method of sonic analysis, which views sound as a series of short, distinct bursts of energy.Abstract:
Natural sounds are complex phenomena because they typically contain a mixture of events localized in time and frequency. Moreover, dependencies exist across different time scales and frequency bands, which are important for proper sound characterization. Historically, acoustical theorists have represented sound in numerous ways. Our research has focused on a granular method of sonic analysis, which views sound as a series of short, distinct bursts of energy. Using that theory, this article presents a statistical learning algorithm for synthesizing new random instances of natural sounds.read more
Citations
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Journal ArticleDOI
Sound Texture Perception via Statistics of the Auditory Periphery: Evidence from Sound Synthesis
TL;DR: The results suggest that sound texture perception is mediated by relatively simple statistics of early auditory representations, presumably computed by downstream neural populations, and the synthesis methodology offers a powerful tool for their further investigation.
Journal ArticleDOI
Summary statistics in auditory perception
TL;DR: Evidence is provided that the auditory system summarizes the temporal details of sounds using time-averaged statistics, which, for different examples of the same texture, converge to the same values with increasing duration, indicating that once these sounds are of moderate length, the brain's representation is limited to time-aversaged statistics.
Journal ArticleDOI
Concatenative sound synthesis: The early years
TL;DR: A comparative survey and taxonomy of the many different approaches to concatenative synthesis throughout the history of electronic music, starting in the 1950s, up to the recent surge of contemporary methods.
Proceedings ArticleDOI
Real-time rendering of aerodynamic sound using sound textures based on computational fluid dynamics
TL;DR: This paper proposes a new method for creating sound textures for aerodynamic sound by making use of computational fluid dynamics, and proposes a method using the soundTextures for real-time rendering of aerodynamics sound according to the motion of objects or wind velocity.
Proceedings Article
Audio oracle: a new algorithm for fast learning of audio structures
TL;DR: The new structure allows fast retrieval and recombination of sub-clips in a manner that assures continuity between splice points and accomplishes effectively a new method for texture synthesis, where the amount of innovation is controlled by one of the synthesis parameters.
References
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Proceedings ArticleDOI
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Li-Yi Wei,Marc Levoy +1 more
TL;DR: This paper presents an efficient algorithm for realistic texture synthesis derived from Markov Random Field texture models and generates textures through a deterministic searching process that accelerates this synthesis process using tree-structured vector quantization.
Journal ArticleDOI
Image compression through wavelet transform coding
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