Browsing Library-Sponsored Conference Proceedings by Title
Now showing items 1-20 of 48
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Application of missing feature theory to the recognition of musical instruments in polyphonic audio
(Johns Hopkins University, 2003-10-26)A system for musical instrument recognition based on a Gaussian Mixture Model (GMM) classifier is introduced. To enable instrument recognition when more than one sound is present at the same time, ideas from missing feature ... -
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 ... -
Automatic Labelling of Tabla Signals
(Johns Hopkins University, 2003-10-26)Most of the recent developments in the field of music indexing and music information retrieval are focused on western music. In this paper, we present an automatic music transcription system dedicated to Tabla - a North ... -
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 ... -
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 ... -
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 Synchronization of Music Data in Score-, MIDI- and PCM-Format
(Johns Hopkins University, 2003-10-26)In this paper we present algorithms for the automatic time-synchronization of score-, MIDI- or PCM-data streams which represent the same polyphonic piano piece. -
Blind Clustering of Popular Music Recordings Based on Singer Voice Characteristics
(Johns Hopkins University, 2003-10-26)This paper presents an effective technique for automatically clustering undocumented music recordings based on their associated singer. This serves as an indispensable step towards indexing and content-based information ... -
The C-BRAHMS project
(Johns Hopkins University, 2003-10-26)The C-BRAHMS project develops computational methods for content-based retrieval and analysis of music data. A summary of the recent algorithmic and experimental developments of the project is given. A search engine developed ... -
Chopin Early Editions: Construction and Usage of Online Digital Scores
(Johns Hopkins University, 2003-10-26)The University of Chicago Library has digitized a collection of 19th century music scores. The online collection is generated programmatically from the scanned images and human-created descriptive and structural metadata, ... -
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 ... -
Classification of Dance Music by Periodicity Patterns
(Johns Hopkins University, 2003-10-26)This paper addresses the genre classification problem for a specific subset of music, standard and Latin ballroom dance music, using a classification method based only on timing information. We compare two methods of ... -
The dangers of parsimony in query-by-humming applications
(Johns Hopkins University, 2003-10-26)Query-by-humming systems attempt to address the needs of the non-expert user, for whom the most natural query format -- for the purposes of finding a tune, hook or melody of unknown providence -- is to sing it. While human ... -
Design Patterns in XML Music Representation
(Johns Hopkins University, 2003-10-26)Design patterns attempt to formalize the discussion of recurring problems and their solutions. This paper introduces several XML design patterns and demonstrates their usefulness in the development of XML music representations. ... -
Detecting Emotion in Music
(Johns Hopkins University, 2003-10-26)Detection of emotion in music sounds is an important problem in music indexing. This paper studies the problem of identifying emotion in music by sound signal processing. The problem is cast as a multiclass classification ... -
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 ... -
Effectiveness of HMM-Based Retrieval on Large Databases
(Johns Hopkins University, 2003-10-26)We have investigated the performance of a hidden Markov model based QBH retrieval system on a large musical database. The database is synthetic, generated from statistics gleaned from our (smaller) database of musical ... -
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 ... -
Exploring Music Collections by Browsing Different Views
(Johns Hopkins University, 2003-10-26)The availability of large music collections calls for ways to efficiently access and explore them. We present a new approach which uses descriptors derived from audio analysis and meta-information to create different views ...