Informatics and Mathematical Modelling (2008)
Tue Lehn-schiøler, Jerónimo Arenas-garcía, Kaare Br, T Petersen, Lars Kai Hansen
This demonstration illustrates how the methods developed in the MIR community can be used to provide real-time feedback to music users. By creating a genre classifier plugin for a popular media...
Informatics and Mathematical Modelling (2008)
Tue Lehn-schiøler, Lars Kai Hansen, Jan Larsen
In this paper a system that transforms speech waveforms to animated faces are proposed. The system relies on continuous state space models to perform the mapping, this makes it possible to ensure...
A Genre Classification Plug-in for Data Collection (2006)
Lehn-Schiøler, Tue, Arenas-Garcia, J, Petersen, K.B., Hansen, L.K.
This demonstration illustrates how the methods developed in the MIR community can be used to provide real-time feedback to music users. By creating a genre classifier plug-in for a popular media...
Learning and clean-up in a large scale music database (2006)
Hansen, Lars Kai, Lehn-Schiøler, Tue, Petersen, T, Arenas-Garcia, J, Larsen, Jan, Jensen, S
We have collected a database of musical features from radio broadcasts (N > 100.000). The database poses a number of hard modeling challenges including: Segmentation problems and missing metadata. We...
Adaptive regularization of noisy linear inverse problems (2006)
Hansen, Lars Kai, Lehn-Schiøler, Tue, Madsen, K. H
In the Bayesian modeling framework there is a close relation between regularization and the prior distribution over parameters. For prior distributions in the exponential family, we show that the...
Mel Frequency Cepstral Coefficients: An Evaluation of Robustness of MP3 Encoded Music (2006)
Sigurdur Sigurdsson, Kaare Br, T Petersen, Tue Lehn-schiøler
In large MP3 databases, files are typically generated with different parameter settings, i.e., bit rate and sampling rates. This is of concern for MIR applications, as encoding difference can...
BLUES from Music: Blind Underdetermined Extraction of Sources from (2006)
Michael Syskind Pedersen, Tue Lehn-schiøler, Jan Larsen
Abstract. In this paper we propose to use an instantaneous ICA method (BLUES) to separate the instruments in a real music stereo recording. We combine two strong separation techniques to segregate...
Making Faces -- State Space Models applied to multi modal signal processing (2005)
The two main focus areas of this thesis are State-Space Models and multi modal signal processing. The general State-Space Model is investigated and an addition to the class of sequential sampling...
Multimedia Mapping using Continuous State Space Models (2004)
In this paper a system that transforms speech waveforms to animated faces are proposed. The system relies on a state space model to perform the mapping. To create a photo realistic image an Active...
Mapping from Speech to Images Using Continuous State Space Models (2004)
Lehn-Schiøler, Tue, Hansen, Lars Kai, Larsen, Jan
In this paper a system that transforms speech waveforms to animated faces are proposed. The system relies on continuous state space models to perform the mapping, this makes it possible to ensure...