In this paper, a new type of metric that defines the similarity between musical audio signals is proposed. Based on the spectral flatness criterion, those metrics achieve low computational cost and low sensitivity to acoustical degradations. Validation is performed by studying the ability of the proposed metric to determine whether two audio signals have been played by the same musical instrument. For this task, proposed metrics are shown to overcome metrics based on the comparison of standard spectral features especially when the request and the records of the database are of different acoustical properties
Abstract: This paper addresses musical sounds recognition produced by different instrument. Various ...
Given an audio query, such as polyphonic musical piece, this thesis address the problem of retrievin...
Large-scale systems for automatic content-based music recommendation require efficient computation o...
In this paper, a new type of metric that defines the similarity between musical audio signals is pro...
Personal multimedia databases contain thousands of items and other databases on the Internet may con...
We present a method to compare songs based solely on their audio content. Our technique forms a sign...
One of the goals in the field of Music Information Retrieval is to obtain a measure of similarity be...
The correspondence of various spectral difference error metrics to human discrimination data was inv...
The correspondence of various error metrics to human discrimination data was investigated. Time‐vary...
For music information retrieval tasks, a nearest neighbor classifier using the Kullback-Leibler dive...
International audienceScene analysis is a relevant way of gathering informations about the structure...
Robust similarity metrics between audio signals based on asymmetrical spectral envelope matchin
Abstract. Multimedia data, including sound databases, require signal processing and parameterization...
Various methods have been used in an attempt to reveal salient parameters for musical timbre percept...
We know that musical instrument tones are recognizable even if they are altered. The current study i...
Abstract: This paper addresses musical sounds recognition produced by different instrument. Various ...
Given an audio query, such as polyphonic musical piece, this thesis address the problem of retrievin...
Large-scale systems for automatic content-based music recommendation require efficient computation o...
In this paper, a new type of metric that defines the similarity between musical audio signals is pro...
Personal multimedia databases contain thousands of items and other databases on the Internet may con...
We present a method to compare songs based solely on their audio content. Our technique forms a sign...
One of the goals in the field of Music Information Retrieval is to obtain a measure of similarity be...
The correspondence of various spectral difference error metrics to human discrimination data was inv...
The correspondence of various error metrics to human discrimination data was investigated. Time‐vary...
For music information retrieval tasks, a nearest neighbor classifier using the Kullback-Leibler dive...
International audienceScene analysis is a relevant way of gathering informations about the structure...
Robust similarity metrics between audio signals based on asymmetrical spectral envelope matchin
Abstract. Multimedia data, including sound databases, require signal processing and parameterization...
Various methods have been used in an attempt to reveal salient parameters for musical timbre percept...
We know that musical instrument tones are recognizable even if they are altered. The current study i...
Abstract: This paper addresses musical sounds recognition produced by different instrument. Various ...
Given an audio query, such as polyphonic musical piece, this thesis address the problem of retrievin...
Large-scale systems for automatic content-based music recommendation require efficient computation o...