Abstract:- In this paper, an implementation of an audio recognition system for personal computers is presented, combining methodologies of digital signal processing, machine perception, and statistical decision models. In particular, attention was given to musical tones, harmonics, and MIDI notes, that build the musical context to identify two musical instruments from their corresponding musical notes. Altogether nine musical instruments from electronic and acoustic devices have been sampled, with an 89 % correct performance for single-mode identification and 67% correct performance for double-mode identification. Key-Words:- pattern recognition, Bayes decision theory, statistical classifiers, musical analysis, harmonics
This paper addresses musical sounds recognition produced by different instrument and focus on classi...
In this paper, a system for pitch independent musical instrument recognition is presented. A wide se...
A method is proposed for instrument recognition in polyphonic mu-sic which combines two independent ...
Abstract: This paper addresses musical sounds recognition produced by different instrument. Various ...
Speech and audio processing techniques are used along with statistical pattern recognition principle...
A statistical pattern-recognition technique was applied to the classification of musical instrument ...
Abstract:- In this paper, a very efficient novel methodology for the automatic recognition of musica...
A particular aspect in the perception of sound is concerned with what is commonly termed as texture ...
The aim of this work was to investigate in what ways digitized music is analyzed and to determine wh...
International audienceThis paper describes a new approach in musical instrument identification, an i...
This dissertation records the development of a process that enables within class classification of m...
72 p.The fundamental area in this project is Automatic Recognition of Musical Instruments. The idea ...
Thesis (Ph.D.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer ...
Abstract: In this paper, a novel methodology for musical instruments timbre identification and deter...
A set of features extracted from audio sources is investigated for content-based classification of m...
This paper addresses musical sounds recognition produced by different instrument and focus on classi...
In this paper, a system for pitch independent musical instrument recognition is presented. A wide se...
A method is proposed for instrument recognition in polyphonic mu-sic which combines two independent ...
Abstract: This paper addresses musical sounds recognition produced by different instrument. Various ...
Speech and audio processing techniques are used along with statistical pattern recognition principle...
A statistical pattern-recognition technique was applied to the classification of musical instrument ...
Abstract:- In this paper, a very efficient novel methodology for the automatic recognition of musica...
A particular aspect in the perception of sound is concerned with what is commonly termed as texture ...
The aim of this work was to investigate in what ways digitized music is analyzed and to determine wh...
International audienceThis paper describes a new approach in musical instrument identification, an i...
This dissertation records the development of a process that enables within class classification of m...
72 p.The fundamental area in this project is Automatic Recognition of Musical Instruments. The idea ...
Thesis (Ph.D.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer ...
Abstract: In this paper, a novel methodology for musical instruments timbre identification and deter...
A set of features extracted from audio sources is investigated for content-based classification of m...
This paper addresses musical sounds recognition produced by different instrument and focus on classi...
In this paper, a system for pitch independent musical instrument recognition is presented. A wide se...
A method is proposed for instrument recognition in polyphonic mu-sic which combines two independent ...