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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 ...
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 ...
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 ...
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. ...
Using morphological description for generic sound retrieval
(Johns Hopkins University, 2003-10-26)
Systems for sound retrieval are usually “source-centred”. This means that retrieval is based on using the proper keywords that define or specify a sound source. Although this type of description is of great interest, it ...
Music identification by Leadsheets
(Johns Hopkins University, 2003-10-26)
Most experimental research on content-based automatic recognition and identification of musical documents is founded on statistical distribution of timbre or simple retrieval mechanisms like comparison of melodic segments. ...
Key-specific Shrinkage Techniques for Harmonic Models
(Johns Hopkins University, 2003-10-26)
Statistical modeling of music is rapidly gaining acceptance as viable approach to a host of Music Information Retrieval related tasks, from transcription to ad hoc retrieval. As music may be viewed as an evolving pattern ...
Automatic Music Transcription from Multiphonic MIDI Signals
(Johns Hopkins University, 2003-10-26)
For automatically transcribing human-performed polyphonic music recorded in the MIDI format, rhythm and tempo are decomposed through probabilistic modeling using Viterbi search in HMM for recognizing the rhythm and EM ...