This paper investigates a given branch of the music information retrieval field, specifically that of audio thumbnail, through which a piece of music can be automatically summarized. We first provide a survey on the different techniques available today for the generation of music summaries, and then we propose a practical method that, based on best practices, is able to summarize songs with a great efficacy
[[abstract]]According to the musicology, musical content and musical structure are both major compon...
This paper deals with the automatic generation of music audio summaries from signal analysis without...
Automatic music classification and summarization are very useful to music indexing, content-based mu...
This paper investigates a given branch of the music information retrieval field, specifically that o...
The paper presents a recently introduced method for the generation of Music Thumbnails , an active f...
More and more music is becoming available digitally, increasing the need to navigate through large n...
More and more music is becoming available digitally, increasing the need to navigate through large n...
A method for segmenting musical audio with a hierarchical timbre model is introduced. New evidence i...
[Methods based on tonality and recurrent structure] Listening to music and perceiving its structure ...
Despite the fact that people are increasingly listening to music electronically, the core interface ...
Automatic audio content analysis is a general research area in which algorithms are developed to all...
Automatic segmentation and summarization of music is a key issue in music browsing, searching and re...
In this paper, we present a novel approach for music summarization based on music structure analysis...
International audienceThe paper presents a system to create audio thumbnails of spo- ken content, i....
A huge amount of audio data is accessible to everyone by on-line or off-line information services an...
[[abstract]]According to the musicology, musical content and musical structure are both major compon...
This paper deals with the automatic generation of music audio summaries from signal analysis without...
Automatic music classification and summarization are very useful to music indexing, content-based mu...
This paper investigates a given branch of the music information retrieval field, specifically that o...
The paper presents a recently introduced method for the generation of Music Thumbnails , an active f...
More and more music is becoming available digitally, increasing the need to navigate through large n...
More and more music is becoming available digitally, increasing the need to navigate through large n...
A method for segmenting musical audio with a hierarchical timbre model is introduced. New evidence i...
[Methods based on tonality and recurrent structure] Listening to music and perceiving its structure ...
Despite the fact that people are increasingly listening to music electronically, the core interface ...
Automatic audio content analysis is a general research area in which algorithms are developed to all...
Automatic segmentation and summarization of music is a key issue in music browsing, searching and re...
In this paper, we present a novel approach for music summarization based on music structure analysis...
International audienceThe paper presents a system to create audio thumbnails of spo- ken content, i....
A huge amount of audio data is accessible to everyone by on-line or off-line information services an...
[[abstract]]According to the musicology, musical content and musical structure are both major compon...
This paper deals with the automatic generation of music audio summaries from signal analysis without...
Automatic music classification and summarization are very useful to music indexing, content-based mu...