Results 1 - 10 of 620

Automatic Extraction of Tempo and Beat from Expressive Performances

by Simon Dixon - Journal of New Music Research , 2001
"... We describe a computer program which is able to estimate the tempo and the times of musical beats in expressively performed music. The input data may be either digital audio or a symbolic representation of music such as MIDI. The data is processed off-line to detect the salient rhythmic events and t ..."
Abstract - Cited by 193 (27 self) - Add to MetaCart
We describe a computer program which is able to estimate the tempo and the times of musical beats in expressively performed music. The input data may be either digital audio or a symbolic representation of music such as MIDI. The data is processed off-line to detect the salient rhythmic events

Music tempo estimation with k-nn regression

by Antti J. Eronen, Anssi P. Klapuri - IEEE Trans on Audio, Speech and Language Processing , 2010
"... Abstract—An approach for tempo estimation from musical pieces with near-constant tempo is proposed. The method consists of three main steps: measuring the degree of musical accent as a function of time, periodicity analysis, and tempo estimation. Novel accent features based on the chroma representat ..."
Abstract - Cited by 11 (2 self) - Add to MetaCart
Abstract—An approach for tempo estimation from musical pieces with near-constant tempo is proposed. The method consists of three main steps: measuring the degree of musical accent as a function of time, periodicity analysis, and tempo estimation. Novel accent features based on the chroma

Monte Carlo Methods for Tempo Tracking and Rhythm Quantization

by Ali Taylan Cemgil, Bert Kappen - JOURNAL OF ARTIFICIAL INTELLIGENCE RESEARCH , 2003
"... We present a probabilistic generarive model for timing deviations in expressive music performance. The structure of the proposed model is equivalent to a switching state space model. The switch variables correspond to discrete note locations as in a musical score. The continuous hidden variables ..."
Abstract - Cited by 68 (12 self) - Add to MetaCart
denote the tempo. We formulate two well known music recognition problems, namely tempo tracking and automatic transcription (rhythm quantization) as filtering and maximum a posteriori (MAP) state estimation tasks. Ex- act computation of posterior features such as the MAP state is intractable

Coil sensitivity encoding for fast MRI. In:

by Klaas P Pruessmann , Markus Weiger , Markus B Scheidegger , Peter Boesiger - Proceedings of the ISMRM 6th Annual Meeting, , 1998
"... New theoretical and practical concepts are presented for considerably enhancing the performance of magnetic resonance imaging (MRI) by means of arrays of multiple receiver coils. Sensitivity encoding (SENSE) is based on the fact that receiver sensitivity generally has an encoding effect complementa ..."
Abstract - Cited by 193 (3 self) - Add to MetaCart
of its ideal counterpart: where Id n v denotes n V ϫ n V identity. By this condition the reconstruction matrix F is generally not yet entirely determined. It leaves n C n K -n V degrees of freedom per voxel, which may be utilized for SNR optimization. To that end each diagonal element of the image noise

TempoExpress, a CBR Approach to Musical Tempo Transformations

by Maarten Grachten, Josep Lluís Arcos, Ramon López De Mántaras
"... Abstract. In this paper, we describe a CBR system for applying musically acceptable tempo transformations to monophonic audio recordings of musical performances. Within the tempo transformation process, the expressivity of the performance is adjusted in such a way that the result sounds natural for ..."
Abstract - Cited by 3 (2 self) - Add to MetaCart
Abstract. In this paper, we describe a CBR system for applying musically acceptable tempo transformations to monophonic audio recordings of musical performances. Within the tempo transformation process, the expressivity of the performance is adjusted in such a way that the result sounds natural

An Empirical Comparison of Tempo Trackers

by Simon Dixon, Simon Dixon - Austrian Research Institute for Artificial Intelligence , 2001
"... One of the difficulties with assessing tempo or beat tracking systems is that there is no standard corpus of data on which they can be tested. This situation is partly because the choice of data set often depends on the goals of the system, which might be, for example, automatic transcription, co ..."
Abstract - Cited by 29 (8 self) - Add to MetaCart
. In this paper, we use a large, publicly available set of performances of two Beatles songs recorded on a Yamaha Disklavier in order to compare two models of tempo tracking: a probabilistic model which uses a Kalman filter to estimate tempo and beat times, and a tempo tracker based on a multiagent search

A critical role for the right fronto-insular cortex in switching between central-executive and default-mode networks.

by Devarajan Sridharan , † ‡ , Daniel J Levitin , Vinod Menon - Proc Natl Acad Sci USA , 2008
"... Cognitively demanding tasks that evoke activation in the brain's central-executive network (CEN) have been consistently shown to evoke decreased activation (deactivation) in the default-mode network (DMN). The neural mechanisms underlying this switch between activation and deactivation of larg ..."
Abstract - Cited by 178 (1 self) - Add to MetaCart
of large-scale brain networks remain completely unknown. Here, we use functional magnetic resonance imaging (fMRI) to investigate the mechanisms underlying switching of brain networks in three different experiments. We first examined this switching process in an auditory event segmentation task. We

Context-dependent beat tracking of musical audio

by Matthew E. P. Davies, Mark D. Plumbley - IEEE TRANSCATIONS ON AUDIO, SPEECH AND LANGUAGE PROCESSING , 2007
"... We present a simple and efficient method for beat tracking of musical audio. With the aim of replicating the human ability of tapping in time to music, we formulate our approach using a two state model. The first state performs tempo induction and tracks tempo changes, while the second maintains co ..."
Abstract - Cited by 92 (24 self) - Add to MetaCart
We present a simple and efficient method for beat tracking of musical audio. With the aim of replicating the human ability of tapping in time to music, we formulate our approach using a two state model. The first state performs tempo induction and tracks tempo changes, while the second maintains

Evaluation and Recommendation of Pulse and Tempo Annotation in Ethnic Music

by Olmo Cornelis, Joren Six, Andre Holzapfel, Marc Leman , 2013
"... Large digital archives of ethnic music require auto-matic tools to provide musical content descriptions. While various automatic approaches are available, they are to a wide extent developed for Western pop-ular music. This paper aims to analyze how auto-mated tempo estimation approaches perform in ..."
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in the context of Central-African music. To this end we collect human beat annotations for a set of musical fragments, and compare them with automatic beat tracking sequences. We first analyze the tempo esti-mations derived from annotations and beat tracking results. Then we examine an approach, based on mu

Tempo Tracking of Musical Signals with Particle Filtering

by Yunyi Xiao, Yunyi Xiao , 2005
"... Tempo estimation is fundamental in music content analysis. In this thesis, we present a tempo tracking algorithm to estimate the beats per minute for a given musical signal. The algorithm consists of two stages; an onset detection to extract the time instants where music properties change and a peri ..."
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Tempo estimation is fundamental in music content analysis. In this thesis, we present a tempo tracking algorithm to estimate the beats per minute for a given musical signal. The algorithm consists of two stages; an onset detection to extract the time instants where music properties change and a
Results 1 - 10 of 620