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An On-Line Algorithm for Real-Time Accompaniment
- R. Dannenberg
- Computer ScienceICMC
Garnet: comprehensive support for graphical, highly interactive user interfaces
The Garnet research project, which is creating a set of tools to aid the design and implementation of highly interactive, graphical, direct-manipulation user interfaces, is discussed. Garnet also…
Polyphonic audio matching and alignment for music retrieval
- Ning Hu, R. Dannenberg, G. Tzanetakis
- Computer ScienceIEEE Workshop on Applications of Signal…
- 19 October 2003
We describe a method that aligns polyphonic audio recordings of music to symbolic score information in standard MIDI files without the difficult process of polyphonic transcription. By using this…
SMERS: Music Emotion Recognition Using Support Vector Regression
A support vector regression (SVR) based music emotion recognition system is presented and the result indicates the SVR classifier in the polar repre- sentation produces satisfactory result which reaches 94.55% accuracy superior to the SRL (in Cartesian) and other machine learning classification algorithms such as SVR.
TagATune: A Game for Music and Sound Annotation
The rationale, design and preliminary results from a pilot study using a prototype of TagATune to label a subset of the FreeSound database, which aims to extract descriptions of sounds and music from human players.
Music score alignment and computer accompaniment
By relating musical sound to musical notation, these systems generate tireless, expressive musical accompaniment to follow and sometimes learn from a live human performance.
The MUSART Testbed for Query-by-Humming Evaluation
- R. Dannenberg, W. Birmingham, G. Tzanetakis, Colin Meek, Ning Hu, B. Pardo
- Computer ScienceComputer Music Journal
- 1 June 2004
A database and a software testbed are created for the systematic evaluation of various query-by-humming (QBH) search systems and a examination of scaling trends is encouraging: precision falls off very slowly as the database size increases, which could be useful to predict performance on larger databases.
A Stochastic Method of Tracking a Vocal Performer
This paper presents a tracking method based upon a statistical model of vocal performances that incorporates both information obtained from real-time signal processing of a performance and information describing the performer's movement through the score (namely tempo and elapsed time).
A Machine Learning Approach to Musical Style Recognition
This work demonstrates that machine learning can be used to build effective style classifiers for interactive performance systems and presents an analysis explaining why these techniques work so well when hand-coded approaches have consistently failed.
Machine tongues XIX: Nyquist, a language for composition and sound synthesis
- R. Dannenberg
- Computer Science
- 23 January 1997
The goal of Nyquist is to provide an open-ended programming language that supports high-level compositional tasks in addition to low-level signal processing, and includes behavioral abstraction as introduced by Arctic, Dannenberg 1984, and Canon 1989.