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» Features for audio and music classification
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ICASSP
2010
IEEE
14 years 9 months ago
Multi-modal analysis of dance performances for music-driven choreography synthesis
We propose a framework for modeling, analysis, annotation and synthesis of multi-modal dance performances. We analyze correlations between music features and dance figure labels ...
Ferda Ofli, Engin Erzin, Yucel Yemez, A. Murat Tek...
GECCO
2007
Springer
345views Optimization» more  GECCO 2007»
15 years 3 months ago
A novel approach to automatic music transcription using electronic synthesis and genetic algorithms
This paper presents a novel approach to the problem of automatic music transcription using electronic synthesis with genetic algorithms. Although the problem is well known and di...
Gustavo Reis, Francisco Fernández de Vega
ECIR
2008
Springer
14 years 11 months ago
A Document-Centered Approach to a Natural Language Music Search Engine
We propose a new approach to a music search engine that can be accessed via natural language queries. As with existing approaches, we try to gather as much contextual information a...
Peter Knees, Tim Pohle, Markus Schedl, Dominik Sch...
ICMCS
2005
IEEE
129views Multimedia» more  ICMCS 2005»
15 years 3 months ago
Feature Selection and Stacking for Robust Discrimination of Speech, Monophonic Singing, and Polyphonic Music
In this work we strive to find an optimal set of acoustic features for the discrimination of speech, monophonic singing, and polyphonic music to robustly segment acoustic media st...
Björn Schuller, Brüning J. B. Schmitt, D...
ICASSP
2010
IEEE
14 years 9 months ago
Automatic state discovery for unstructured audio scene classification
In this paper we present a novel scheme for unstructured audio scene classification that possesses three highly desirable and powerful features: autonomy, scalability, and robust...
Julian Ramos, Sajid M. Siddiqi, Artur Dubrawski, G...