منابع مشابه
MIREX Symbolic Music Similarity
This extended abstract presents a submission to the Music Information Retrieval Evaluation eXchange (MIREX) in the symbolic Melodic Similarity task. This submission is an implementation of an extension of the edit-distance technique to the polyphonic context. Melodies are represented by quotiented sequences. A quotiented sequence is a sequence graph defined with an additional equivalent relatio...
متن کاملThe Sociological Study of Music Consumption (Case Study: the Youth of Sabzevar)
The study of consumer tastes and preferences of individuals towards cultural goods including music can determine the type and structure of social relations and interaction between people in different social strata.Contrary to what is commonly believed to joy and entertainment, instrumental music is not the thing that can reflect the meaning of life in a community or group. This study aims to st...
متن کاملSociological study of music consumption among citizens of Bandar Abbas
The purpose of study is to investigate the sociology of music consumption among the citizens of Bandar Abbas. The research method is survey and data collection tool was a questionnaire. The population of study includes all young people aged 18-35 in Bandar Abbas; the sample size was 400 through Morgan's table. The stratified sampling method was administered and the data were analyzed using SPSS...
متن کاملModelling Symbolic Music: Beyond the Piano Roll
In this paper, we consider the problem of probabilistically modelling symbolic music data. We introduce a representation which reduces polyphonic music to a univariate categorical sequence. In this way, we are able to apply state of the art natural language processing techniques, namely the long short-term memory sequence model. The representation we employ permits arbitrary rhythmic structure,...
متن کاملSymbolic Music Data Version 1.0
In this document, we introduce a new dataset designed for training machine learning models of symbolic music data. Five datasets are provided, one of which is from a newly collected corpus of 20K midi files. We describe our preprocessing and cleaning pipeline, which includes the exclusion of a number of files based on scores from a previously developed probabilistic machine learning model. We a...
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: Journal of Marketing Management
سال: 2010
ISSN: 0267-257X,1472-1376
DOI: 10.1080/0267257x.2010.481865