Defining features of steady‐state timbres
نویسندگان
چکیده
منابع مشابه
Musical instrument timbres classification with spectral features
A set of features is evaluated for recognition of musical instruments out of monophonic musical signals. Aiming to achieve a compact representation, the adopted features regard only spectral characteristics of sound and are limited in number. On top of these descriptors, various classification methods are implemented and tested. Over a dataset of 1007 tones from 27 musical instruments, support ...
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Categories play a fundamental role in human cognition. Defining features (short for DFs) are the key elements to define a category, which enables machines to categorize objects. Categories enriched with their DFs significantly improve the machine’s ability of categorization and benefit many applications built upon categorization. However, defining features can rarely be found for categories in ...
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A set of features extracted from audio sources is investigated for content-based classification of musical instrument timbres. The adopted features describe spectral characteristics of monophonic sounds and rely on the previous segmentation of the signal and the estimation of pitch. The dataset is composed by 1007 tones from 27 musical instruments ranging from orchestral sounds (strings, woodwi...
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Two experiments were performed to evaluate the perceptual relationships between 16 music instrument tones. The stimuli were computer synthesized based upon an analysis of actual instrument tones, and they were perceptually equalized for loudness, pitch, and duration. Experiment 1 evaluated the tones with respect to perceptual similarities, and the results were treated with multidimensional scal...
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ژورنال
عنوان ژورنال: The Journal of the Acoustical Society of America
سال: 1995
ISSN: 0001-4966
DOI: 10.1121/1.411558