Analyzing Timbres of Various Musical Instruments Using FFT and Spectral Analysis
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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To begin this discussion on spectral analysis, let us begin by considering the question of trying to detect an underlying sinusoidal signal component that is buried in noise. Such problems occur, for example, very commonly in the area of telecommunications. Suppose that such a signal-in-noise situation gives rise to the observed data record as shown in figure 1. Here the samples are collected a...
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Abstract In musical instrument timbre perception, it is well known that one of the most salient parameters is the spectral envelope. While a number of studies have explored discrimination thresholds for changes to the spectral envelope, the question of how sensitivity varies as a function of centre frequency and bandwidth to musical instruments has yet to be addressed. In this paper we conducte...
متن کاملPossessing Drums: An Interface of Musical Instruments that Assigns Arbitrary Timbres to Personal Belongings
In this work, I propose an interface for musical instruments for assigning arbitrary timbres to arbitrary objects including personal belongings such as a table or cup, or actions such as vocalization by audio signal processing, to enable the users to play music as if they were playing the actual acoustic musical instrument which generates the simulated timbres. This system requires no special d...
متن کاملContent-Based Classification of Musical Instrument Timbres
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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ژورنال
عنوان ژورنال: Journal of Student Research
سال: 2021
ISSN: 2167-1907
DOI: 10.47611/jsrhs.v10i1.1292