Under development by the Center for Research in Entertainment and Learning (CREL) @UCSD

Cheng-i Wang, chw160@ucsd.edu

vmo is a Python library for time series and symbolic sequence analysis/synthesis in the family of software built around the Factor Oracle and Variable Markov Oracle algorithms. One of the main innovations in vmo is using functions related to Information Dynamics to determine oracle structure and query-matching algorithms.

Numpy, Scipy, librosa & sklearn.

run python setup.py install

If the VMO package is used for any research works result in publications, please cite the following paper.

@InProceedings{Wang2014, Title = {Guided Music Synthesis with Variable Markov Oracle}, Author = {Wang, Cheng-i and Dubnov, Shlomo}, Booktitle = {3rd International Workshop on Musical Metacreation, 10th Artificial Intelligence and Interactive Digital Entertainment Conference}, Year = {2014}}