Njbml
CS229 Machine Learning Project Proposal
People
Students: Nicholas J. Bryan
Professors: Ge Wang, Andrew Ng
Papers to Read/Concepts to Understand
HMMs and how they are used for speech recognition
How the knowledge of HMMs/speech recognition can be applied to rhythm understanding
A Tutorial on Hidden Markov Models and Selected Applications in Speech Recognition
Hidden Markov Models for Speech Recognition OGI School of Science & Engineering Course Website
Music Retrieval By Rhythmic Similarity Applied on Greek and African Traditional Music
Pattern Discovery Techniques for Music Audio
Understanding Search Performance in Query-By-Humming Systems
Casual Tempo Tracking of Audio
Eigenrhythms: Drum Pattern Basis Sets For Classification and Generation
Audio Retrieval by Rhythmic Similarity
Beat and Meter Extraction Using Gaussified Onsets
Drum Track Transcription of Polyphonic Music Using Noise Subspace Projection
Supervised and Unsupervised Sequence Modeling for Drum Transcription
ISMIR 2006 Tutorial: Computational Rhythm Description
Extraction of Drum Patterns and Their Description within the MPEG-7 High-Level Framework
Continuous HMM and its Enhancement for Signing/Humming Query Retrieval
Rhythm-Based Segmentation of Popular Chinese Music