Probabilistic-Logical Modeling of Music

نویسندگان

  • Jon Sneyers
  • Joost Vennekens
  • Danny De Schreye
چکیده

PRISM is a probabilistic-logical programming language based on Prolog. We present a PRISM-implementation of a general model for polyphonic music, based on Hidden Markov Models. Its probability parameters are automatically learned by running the built-in EM-algorithm of PRISM on training examples. We show how the model can be used as a classifier for music that guesses the composer of unknown fragments of music. Then we use it to automatically compose new music.

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Toward Mechanized Music Pedagogy

We can adapt existing techniques for the statistical modeling of music to the modeling of the quality of musical performance, resulting in a fine-grained statistical understanding of ’hardness’ in music performance. This drives AI-assisted applications for improving skill. We present modeling results using various probabilistic models to model performance in the simplified setting of rhythm games.

متن کامل

شناسایی خودکار سبک موسیقی

Nowadays, automatic analysis of music signals has gained a considerable importance due to the growing amount of music data found on the Web. Music genre classification is one of the interesting research areas in music information retrieval systems. In this paper several techniques were implemented and evaluated for music genre classification including feature extraction, feature selection and m...

متن کامل

Probabilistic logical models for Mendel’s experiments: An exercise

Several probabilistic logical modelling languages are compared on the task of describing or learning the inheritance mechanism discovered by Mendel. This small exercise reveals differences with respect to how easily certain kinds of domain knowledge (which may improve the learnability of the model) can be expressed by them.

متن کامل

Probabilistic Logical Characterization

Probabilistic automata exhibit both probabilistic and non-deterministic choice. They are therefore a powerful semantic foundation for modeling concurrent systems with random phenomena arising in many applications ranging from artificial intelligence, security, systems biology to performance modeling. Several variations of bisimulation and simulation relations have proved to be useful as means t...

متن کامل

Probabilistic Modeling of Hierarchical Music Analysis

Hierarchical music analysis, as exemplified by Schenkerian analysis, describes the structure of a musical composition by a hierarchy among its notes. Each analysis defines a set of prolongations, where musical objects persist in time even though others are present. We present a formal model for representing hierarchical music analysis, probabilistic interpretations of that model, and an efficie...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 2006