Add to ORKGThe development of computer algorithms for music instrument identification and parameter extraction in digital audio sig-nals is an active research field. A musician can listen to music and instantly identify different instruments and the timbres produced by various playing techniques. Creating software to allow computers to do the same is much more challenging. This project will use digital signal processing and machine learning techniques to differentiate snare drum timbres pro
A set of features extracted from audio sources is investigated for content-based classification of m...
This thesis proposes signal processing methods for the analysis of musical audio on two time scales:...
Many approaches have been taken to detect and classify percussive events within music signals for a ...
The development of computer algorithms for music instrument identification and parameter extraction...
A particular aspect in the perception of sound is concerned with what is commonly termed as texture ...
Abstract: In this paper, a novel methodology for musical instruments timbre identification and deter...
72 p.The fundamental area in this project is Automatic Recognition of Musical Instruments. The idea ...
Musical timbre transfer is the task of re-rendering the musical content of a given source using the ...
This paper is brief research on how to identify the audio instruments using machine learning. Algori...
Abstract:- In this paper, an implementation of an audio recognition system for personal computers is...
PhDA particular aspect in the perception of sound is concerned with what is commonly termed as text...
This dissertation records the development of a process that enables within class classification of m...
A set of low level and cepstral feature extraction externals for pure data (Pd) are introduced and e...
This paper proposes a preprocessing technique for the automatic transcription of performances produc...
This dissertation explores relationships between perceptual dimensions of percussive timbres and mea...
A set of features extracted from audio sources is investigated for content-based classification of m...
This thesis proposes signal processing methods for the analysis of musical audio on two time scales:...
Many approaches have been taken to detect and classify percussive events within music signals for a ...
The development of computer algorithms for music instrument identification and parameter extraction...
A particular aspect in the perception of sound is concerned with what is commonly termed as texture ...
Abstract: In this paper, a novel methodology for musical instruments timbre identification and deter...
72 p.The fundamental area in this project is Automatic Recognition of Musical Instruments. The idea ...
Musical timbre transfer is the task of re-rendering the musical content of a given source using the ...
This paper is brief research on how to identify the audio instruments using machine learning. Algori...
Abstract:- In this paper, an implementation of an audio recognition system for personal computers is...
PhDA particular aspect in the perception of sound is concerned with what is commonly termed as text...
This dissertation records the development of a process that enables within class classification of m...
A set of low level and cepstral feature extraction externals for pure data (Pd) are introduced and e...
This paper proposes a preprocessing technique for the automatic transcription of performances produc...
This dissertation explores relationships between perceptual dimensions of percussive timbres and mea...
A set of features extracted from audio sources is investigated for content-based classification of m...
This thesis proposes signal processing methods for the analysis of musical audio on two time scales:...
Many approaches have been taken to detect and classify percussive events within music signals for a ...