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Ground-Truth Transcriptions of Real Music from Force-Aligned MIDI Syntheses
(Johns Hopkins University, 2003-10-26)
Many modern polyphonic music transcription algorithms are presented in a statistical pattern recognition framework. But without a large corpus of real-world music transcribed at the note level, these algorithms are unable ...
Improving Polyphonic and Poly-Instrumental Music to Score Alignment
(Johns Hopkins University, 2003-10-26)
Music alignment link events in a score and points on the audio performance time axis. All the parts of a recording can be thus indexed according to score information. The automatic alignment presented in this paper is based ...
Harmonic Analysis with Probabilistic Graphical Models
(Johns Hopkins University, 2003-10-26)
A technique for harmonic analysis is presented that partitions a piece of music into contiguous regions and labels each with the key, mode, and functional chord, e.g. tonic, dominant, etc. The analysis is performed with a ...
Chord Segmentation and Recognition using EM-Trained Hidden Markov Models
(Johns Hopkins University, 2003-10-26)
Automatic extraction of content description from commercial audio recordings has a number of important applications, from indexing and retrieval through to novel musicological analyses based on very large corpora of recorded ...
Determining Context-Defining Windows: Pitch Spelling using the Spiral Array
(Johns Hopkins University, 2003-10-26)
This paper presents algorithms for pitch spelling using the Spiral Array model. Accurate pitch selling, assigning contextually consistent letter names to pitch numbers (for example, MIDI), is a critical component of music ...
Music Scene Description Project: Toward Audio-based Real-time Music Understanding
(Johns Hopkins University, 2003-10-26)
This paper reports a research project intended to build a real-time music-understanding system producing intuitively meaningful descriptions of real-world musical audio signals, such as the melody lines and chorus sections. ...
Discovering Musical Pattern through Perceptive Heuristics.
(Johns Hopkins University, 2003-10-26)
This paper defends the view that the intricate difficulties challenging the emerging domain of Musical Pattern Discovery, which is dedicated to the automation of motivic analysis, will be overcome only through a thorough ...
Automatic Mood Detection from Acoustic Music Data
(Johns Hopkins University, 2003-10-26)
Music mood describes the inherent emotional meaning of a music clip. It is helpful in music understanding and music search and some music-related applications. In this paper, a hierarchical framework is presented to automate ...
Using Transportation Distances for Measuring Melodic Similarity
(Johns Hopkins University, 2003-10-26)
Most of the existing methods for measuring melodic similarity use one-dimensional textual representations of music notation, so that melodic similarity can be measured by calculating editing distances. We view notes as ...
An Auditory Model Based Transcriber of Vocal Queries
(Johns Hopkins University, 2003-10-26)
In this paper a new auditory model-based transcriber of melodic queries produced by a human voice is presented. The newly presented system is tested systematically, together with some other state-of-the-art systems, on ...