cote interne IRCAM: Burred09aNone / NoneNational audienceWe propose a new method for detecting the musical instruments that are present in single-channel mixtures. Such a task is of interest for audio and multimedia content analysis and indexing applications. The approach is based on grouping sinusoidal trajectories according to common onsets, and comparing each group's overall amplitude evolution with a set of pre-trained probabilistic templates describing the temporal evolution of the spectral envelopes of a given set of instruments. Classification is based on either an Euclidean or a probabilistic definition of timbral similarity, both of which are compared with respect to detection accuracy
A method is proposed for instrument recognition in polyphonic mu-sic which combines two independent ...
cote interne IRCAM: Meudic03aNone / NoneNational audienceIn the context of musical analysis, we prop...
A system for musical instrument recognition based on a Gaussian Mixture Model (GMM) classifier is in...
We propose a new method for detecting the musical instru-ments that are present in single-channel mi...
Abstract—We present a computational model of musical instru-ment sounds that focuses on capturing th...
International audienceThis paper describes a new approach in musical instrument identification, an i...
We address the problem of multi-instrument recognition in polyphonic music signals. Individual instr...
Abstract—We propose a new approach to instrument recog-nition in the context of real music orchestra...
This paper addresses the problem of identifying musical instruments in polyphonic music. Musical ins...
Automated instrument recognition is necessary to efficiently obtain instrumentation information for ...
A method is proposed for instrument recognition in polyphonic music which combines two independent d...
Abstract. A compact, general and accurate model of the timbral characteristics of musical instrument...
Instrument recognition is an important task in music information retrieval (MIR). Whereas the recogn...
International audiencePolyphonic pitch estimation and musical instrument identification are some of ...
We provide a new solution to the problem of feature variations caused by the overlapping of sounds i...
A method is proposed for instrument recognition in polyphonic mu-sic which combines two independent ...
cote interne IRCAM: Meudic03aNone / NoneNational audienceIn the context of musical analysis, we prop...
A system for musical instrument recognition based on a Gaussian Mixture Model (GMM) classifier is in...
We propose a new method for detecting the musical instru-ments that are present in single-channel mi...
Abstract—We present a computational model of musical instru-ment sounds that focuses on capturing th...
International audienceThis paper describes a new approach in musical instrument identification, an i...
We address the problem of multi-instrument recognition in polyphonic music signals. Individual instr...
Abstract—We propose a new approach to instrument recog-nition in the context of real music orchestra...
This paper addresses the problem of identifying musical instruments in polyphonic music. Musical ins...
Automated instrument recognition is necessary to efficiently obtain instrumentation information for ...
A method is proposed for instrument recognition in polyphonic music which combines two independent d...
Abstract. A compact, general and accurate model of the timbral characteristics of musical instrument...
Instrument recognition is an important task in music information retrieval (MIR). Whereas the recogn...
International audiencePolyphonic pitch estimation and musical instrument identification are some of ...
We provide a new solution to the problem of feature variations caused by the overlapping of sounds i...
A method is proposed for instrument recognition in polyphonic mu-sic which combines two independent ...
cote interne IRCAM: Meudic03aNone / NoneNational audienceIn the context of musical analysis, we prop...
A system for musical instrument recognition based on a Gaussian Mixture Model (GMM) classifier is in...