[ANGLÈS] Music genre classification is an important part in the domain of Music Information Retrieval that tries to find several algorithms and audio analysis to classify audio tracks in different music styles or musical genres, like classical, rock or electronic, among others. The benchmark collections used to make the training model for the classifier tend to be based on high-quality studio recordings. Nevertheless, sometimes we need to classify audio coming from several recording ways or from a non high-quality audio recording, so this fact could have a direct impact on the genre classification. In this document we present extensive studies focused on the impact of distorted audio on the music genre classification. We intend to find whic...
En aquesta tesi presentem un mètode general per al reconeixement automàtic d’instruments musicals pa...
This paper presents a novel approach to the task of automatic music genre classification which is ba...
This tesis reports on research carried out and published during the last twenty years on different p...
[ANGLÈS] Music genre classification is an important part in the domain of Music Information Retrieva...
The amount of music available is huge, specially if we consider free non-commercial music. In order ...
Treballs Finals de Grau d'Enginyeria Informàtica, Facultat de Matemàtiques, Universitat de Barcelona...
There exists a large number of supervised music classification tasks: Recognition of music genres an...
Treball de fi de grau en Sistemes AudiovisualsTutor: Emilia GómezAlthough cinema is an art with a hi...
We examine performance of different classifiers on different audio feature sets to determine the gen...
This paper presents a novel approach to the task of automatic music genre classification which is ba...
This paper deals with the musical genre classification problem, starting from a set of features extr...
Music Information Retrieval (MIR) is a field of research that focusses on extracting information fro...
Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)A flexible method to classify musical a...
En este Trabajo de Fin de Grado se pretende diseñar un clasificador de géneros musicales basado en a...
This doctoral dissertation presents, discusses and proposes tools for the automatic information retr...
En aquesta tesi presentem un mètode general per al reconeixement automàtic d’instruments musicals pa...
This paper presents a novel approach to the task of automatic music genre classification which is ba...
This tesis reports on research carried out and published during the last twenty years on different p...
[ANGLÈS] Music genre classification is an important part in the domain of Music Information Retrieva...
The amount of music available is huge, specially if we consider free non-commercial music. In order ...
Treballs Finals de Grau d'Enginyeria Informàtica, Facultat de Matemàtiques, Universitat de Barcelona...
There exists a large number of supervised music classification tasks: Recognition of music genres an...
Treball de fi de grau en Sistemes AudiovisualsTutor: Emilia GómezAlthough cinema is an art with a hi...
We examine performance of different classifiers on different audio feature sets to determine the gen...
This paper presents a novel approach to the task of automatic music genre classification which is ba...
This paper deals with the musical genre classification problem, starting from a set of features extr...
Music Information Retrieval (MIR) is a field of research that focusses on extracting information fro...
Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)A flexible method to classify musical a...
En este Trabajo de Fin de Grado se pretende diseñar un clasificador de géneros musicales basado en a...
This doctoral dissertation presents, discusses and proposes tools for the automatic information retr...
En aquesta tesi presentem un mètode general per al reconeixement automàtic d’instruments musicals pa...
This paper presents a novel approach to the task of automatic music genre classification which is ba...
This tesis reports on research carried out and published during the last twenty years on different p...