Abstract—In late 2011, Fado was elevated to the oral and intangible heritage of humanity by UNESCO. This study aims to develop a tool for automatic detection of Fado music based on the audio signal. To do this, frequency spectrum-related characteristics were captured form the audio signal: in addition to the Mel Frequency Cepstral Coefficients (MFCCs) and the energy of the signal, the signal was further analysed in two frequency ranges, providing additional information. Tests were run both in a 10-fold cross-validation setup (97.6 % accuracy), and in a traditional train/test setup (95.8 % accuracy). The good results reflect the fact that Fado is a very distinctive musical style. I
International audienceThis paper deals with new capturing technologies to safeguard and transmit end...
Abstract:- In this paper, a very efficient novel methodology for the automatic recognition of musica...
International audienceThis paper focuses on emotion recognition and under-standing in Contemporary W...
Fado was listed as UNESCO Intangible Cultural Heritage in 2011. This dissertation describes a theor...
A new online archive of encoded fado transcriptions is presented. This dataset is relevant as the fi...
With the high increase in the availability of digital music, it has become of interest to automatica...
Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)A flexible method to classify musical a...
Abstract: In this research, we analyze how the sound and music relate to humans from the aspect of K...
International audienceAutomatic timbre characterization of audio signals can help to measure similar...
This paper evaluates the performance of a salient frequency detection algorithm. The algorithm calc...
Signal processing methods for audio classification and music content analysis are developed in this ...
When facing the problem of organizing, categorizing, browsing and retrieving data from large music c...
The automatic analysis of large musical corpora by means of computational models overcomes some limi...
Music identification is an effective tool that enables multimedia players to extract a distinct stat...
International audienceThis paper deals with new capturing technologies to safeguard and transmit end...
International audienceThis paper deals with new capturing technologies to safeguard and transmit end...
Abstract:- In this paper, a very efficient novel methodology for the automatic recognition of musica...
International audienceThis paper focuses on emotion recognition and under-standing in Contemporary W...
Fado was listed as UNESCO Intangible Cultural Heritage in 2011. This dissertation describes a theor...
A new online archive of encoded fado transcriptions is presented. This dataset is relevant as the fi...
With the high increase in the availability of digital music, it has become of interest to automatica...
Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)A flexible method to classify musical a...
Abstract: In this research, we analyze how the sound and music relate to humans from the aspect of K...
International audienceAutomatic timbre characterization of audio signals can help to measure similar...
This paper evaluates the performance of a salient frequency detection algorithm. The algorithm calc...
Signal processing methods for audio classification and music content analysis are developed in this ...
When facing the problem of organizing, categorizing, browsing and retrieving data from large music c...
The automatic analysis of large musical corpora by means of computational models overcomes some limi...
Music identification is an effective tool that enables multimedia players to extract a distinct stat...
International audienceThis paper deals with new capturing technologies to safeguard and transmit end...
International audienceThis paper deals with new capturing technologies to safeguard and transmit end...
Abstract:- In this paper, a very efficient novel methodology for the automatic recognition of musica...
International audienceThis paper focuses on emotion recognition and under-standing in Contemporary W...