Maximum entropy models capture melodic styles
نویسندگان
چکیده
منابع مشابه
Maximum Entropy Model for Melodic Patterns
We introduce a model for music generation where melodies are seen as a network of interacting notes. Starting from the principle of maximum entropy we assign to this network a probability distribution, which is learned from an existing musical corpus. We use this model to generate novel musical sequences that mimic the style of the corpus. Our main result is that this model can reproduce high-o...
متن کاملChunking with Maximum Entropy Models
Maximum Entropy (MaxEnt) models (Jaynes, 1957) are exponential models that implement the intuition that if there is no evidence to favour one alternative solution above another, both alternatives should be equally likely. In order to accomplish this, as much information as possible about the process you want to model must be collected. This information consists of frequencies of events relevant...
متن کاملCompact Maximum Entropy Language Models
In language modeling we are always confronted with a sparse data problem. The Maximum Entropy formalism allows to fully integrate complementary statistical properties of limited corpora. The focus of the present paper is twofold. The new smoothing technique of LM-induced marginals is introduced and discussed. We then highlight the advantages resulting from a combination of robust features and s...
متن کاملMixtures of Conditional Maximum Entropy Models
Driven by successes in several application areas, maximum entropy modeling has recently gained considerable popularity. We generalize the standard maximum entropy formulation of classification problems to better handle the case where complex data distributions arise from a mixture of simpler underlying (latent) distributions. We develop a theoretical framework for characterizing data as a mixtu...
متن کاملHow biased are maximum entropy models?
Maximum entropy models have become popular statistical models in neuroscience and other areas in biology, and can be useful tools for obtaining estimates of mutual information in biological systems. However, maximum entropy models fit to small data sets can be subject to sampling bias; i.e. the true entropy of the data can be severely underestimated. Here we study the sampling properties of est...
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: Scientific Reports
سال: 2017
ISSN: 2045-2322
DOI: 10.1038/s41598-017-08028-4