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Automatic Segmentation, Learning and Retrieval of Melodies Using A Self-Organizing Neural Network
(Johns Hopkins University, 2003-10-26)
We introduce a neural network, known as SONNET-MAP, capable of automatic segmentation, learning and retrieval of melodies. SONNET-MAP is a synthesis of Nigrin’s SONNET (Self-Organizing Neural NETwork) architecture and an ...
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 ...
How People Describe Their Music Information Needs: A Grounded Theory Analysis Of Music Queries
(Johns Hopkins University, 2003-10-26)
How do users of music information retrieval (MIR) systems express their needs? Using a Wizard of Oz approach to system evaluation, combined with a grounded theory analysis of 502 real-world music queries posted to Google ...
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 ...
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 ...
Was Parsons right? An experiment in usability of music representations for melody-based music retrieval
(Johns Hopkins University, 2003-10-26)
In 1975 Parsons developed his dictionary of musical themes based on a simple contour representation. The motivation was that people with little training in music would be able to identify pieces of music. We decided to ...
Effects of song familiarity, singing training and recent song exposure on the singing of melodies
(Johns Hopkins University, 2003-10-26)
Findings of a singing experiment are presented in which trained and untrained singers sang melodies of familiar and less familiar Beatles songs from memory and after listening to the original song on CD. Results showed ...