Add to ORKGInternational audienceIn this paper, we explore the use of a graph algorithm called the normalized cut in order to organize prominent components of the auditory scene. We focus specifically on defining a time-constrained similarity metric. We show that such a metric can be successfully expressed in terms of the time and frequency masking phenomena and can be used to solve common problems in auditory scene analysis
Auditory transduction modeling efforts have relied on detailed metrics such as phase-locking, adapta...
It is a well known fact that the time-frequency domain is very well adapted for representing audio s...
In this chapter we discuss several time-domain algorithms which are a combination of smaller process...
In this paper, we explore the use of a graph algorithm called the normalized cut in order to organiz...
International audienceScene analysis is a relevant way of gathering informations about the structure...
Natural sounds are structured on many time-scales. A typical segment of speech, for example, contain...
Natural sounds are structured on many time-scales. A typical segment of speech, for example, contain...
Exploiting correlations in the audio, several works in the past have demonstrated the ability to aut...
For two signicant problems: 1) how to catch and trace individual stream attributes, and 2) how to ex...
International audienceThis paper addresses the problem of audio scenes classification and contribute...
The auditory system has developed very sophisticated mechanisms to seek regularities and to extract ...
In this paper, we investigate a reduced complexity approach to rate-distortion optimized time-segmen...
This paper proposes a new approach for the similarity measure and ranking of audio clips by graph mo...
International audienceThe singing voice and melody are important characteristics of music signals. I...
PhD ThesisSource separation aims to identify and separate the sources from a given mixture. In musi...
Auditory transduction modeling efforts have relied on detailed metrics such as phase-locking, adapta...
It is a well known fact that the time-frequency domain is very well adapted for representing audio s...
In this chapter we discuss several time-domain algorithms which are a combination of smaller process...
In this paper, we explore the use of a graph algorithm called the normalized cut in order to organiz...
International audienceScene analysis is a relevant way of gathering informations about the structure...
Natural sounds are structured on many time-scales. A typical segment of speech, for example, contain...
Natural sounds are structured on many time-scales. A typical segment of speech, for example, contain...
Exploiting correlations in the audio, several works in the past have demonstrated the ability to aut...
For two signicant problems: 1) how to catch and trace individual stream attributes, and 2) how to ex...
International audienceThis paper addresses the problem of audio scenes classification and contribute...
The auditory system has developed very sophisticated mechanisms to seek regularities and to extract ...
In this paper, we investigate a reduced complexity approach to rate-distortion optimized time-segmen...
This paper proposes a new approach for the similarity measure and ranking of audio clips by graph mo...
International audienceThe singing voice and melody are important characteristics of music signals. I...
PhD ThesisSource separation aims to identify and separate the sources from a given mixture. In musi...
Auditory transduction modeling efforts have relied on detailed metrics such as phase-locking, adapta...
It is a well known fact that the time-frequency domain is very well adapted for representing audio s...
In this chapter we discuss several time-domain algorithms which are a combination of smaller process...