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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 ...
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 Notation as a MEI Feasibility Test
(Johns Hopkins University, 2003-10-26)
This project demonstrated that enough information can be retrieved from MEI, an XML format for musical information representation, to transform it into music notation with good fidelity. The process involved writing an ...
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. ...
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. ...
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 ...
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 ...
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 ...
A SVM ¨C Based Classification Approach to Musical Audio
(Johns Hopkins University, 2003-10-26)
This paper describes an automatic heirarchical music classification approach based on support vector machines (SVM). Based on the proposed method, the music is classified into coursed classes such as vocal, instrumental ...
Three Dimensional Continuous DP Algorithm for Multiple Pitch Candidates in Music Information Retrieval System
(Johns Hopkins University, 2003-10-26)
This paper threats theoretical and practical issues that implement a music information retrieval system based on query by humming. In order to extract accuracy features from the user's humming, we propose a new retrieval ...