Difference between revisions of "Njbml"

Revision as of 20:21, 18 October 2007

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

Indexing Hidden Markov Models for Music Retrieval

New Music Interfaces for Rhythm-Based Retrieval