Time-Scale Modification (TSM) is a well-researched field, however no effective objective measure of quality exists. This paper details the creation, subjective evaluation and analysis of a dataset, for use in the development of an objective measure of quality for TSM. Comprising two parts, the training component contains 88 source files processed using six TSM methods at 10 time-scales, while the testing component contains 20 source files processed using three additional methods at four time-scales.

  • Machine Learning
  • Last Updated On: 
    Tue, 06/02/2020 - 01:08

    The Million Song Dataset is a freely-available collection of audio features and metadata for a million contemporary popular music tracks. Its purposes are:

    • To encourage research on algorithms that scale to commercial sizes
    • To provide a reference dataset for evaluating research
    • As a shortcut alternative to creating a large dataset with APIs (e.g. The Echo Nest's)
    • To help new researchers get started in the MIR field


  • Digital signal processing
  • Last Updated On: 
    Thu, 11/08/2018 - 10:34