Musical Genre Classification Using Nonnegative Matrix Factorization-Based Features
نویسندگان
چکیده
منابع مشابه
Musical Genre Classification by Instrumental Features
Automatic musical genre classification is very useful for many musical applications. In this paper, the features of instrument distribution and instrument-based notes are proposed to represent the high-level characteristics of music. Experimental results show that the proposed features have a good performance in musical genre classification. Comparison between our proposed features with the com...
متن کاملGroup Nonnegative Matrix Factorization for EEG Classification
Given electroencephalogram (EEG) data measured from several subjects under the same conditions, our goal is to estimate common task-related bases in a linear model that capture intra-subject variations as well as inter-subject variations. Such bases capture the common phenomenon in group data, which is a core of group analysis. In this paper we present a method of nonnegative matrix factorizati...
متن کاملSemi-Supervised Classification of Musical Genre using Multi-View Features
Musical genre classification is a key problem in multimedia information retrieval. Traditional musical genre classification methods are complete supervised, i.e., large amount of annotations are needed. In addition, if more than one feature sets are used, they are simply concatenated to form a long feature vector, which is sometimes problematic. To solve these problems, we introduce to use mult...
متن کاملAutomated Gene Classification using Nonnegative Matrix Factorization on Biomedical Literature
Understanding functional gene relationships is a challenging problem for biological applications. High-throughput technologies such as DNA microarrays have inundated biologists with a wealth of information, however, processing that information remains problematic. To help with this problem, researchers have begun applying text mining techniques to the biological literature. This work extends pr...
متن کاملMusical genre classification using support vector machines
Automatic musical genre classification is very useful for music indexing and retrieval. In this paper, an efficient and effective automatic musical genre classification approach is presented. A set of features is extracted and used to characterize music content. A multi-layer classifier based on support vector machines is applied to musical genre classification. Support vector machines are used...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: IEEE Transactions on Audio, Speech, and Language Processing
سال: 2008
ISSN: 1558-7916,1558-7924
DOI: 10.1109/tasl.2007.909434