Music driven dance synthesis by multimodal dance performance analysis

Name: Music driven dance synthesis by multimodal dance performance analysis
Brand: LAP Lambert Academic Publishing
SKU: 9783846549902
Price: 235.26 RON
Availability: InStock

Music-Driven Dance Synthesis by Multimodal Dance Performance Analysis

Autor: Yasemin Demir, Engin Erzin, A. Murat Tekalp

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Editura: LAP Lambert Academic Publishing

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We present a framework for audio-visual analysis of dance performances towards the goal of music-dri...

Informații despre carte

Autor

Yasemin Demir, Engin Erzin, A. Murat Tekalp

Limbă

engleză

Legare

Carte - Carte broșată

Publicat

2011

Pagini

EAN

9783846549902

Enbook ID

06918545

Editura

LAP Lambert Academic Publishing

Greutate

113

Dimensiuni

150 x 220 x 4

Descriere completă

We present a framework for audio-visual analysis of dance performances towards the goal of music-driven dance synthesis. Dance gures, which are performed synchronously with the musical rhythm, can be analyzed through the audio spectra using spectral and chromatic musical features. In the proposed multimodal dance performance analysis system, dance gures are manually labeled over the video stream and modeled by employing HMMs. The music segments, which correspond to beat and meter boundaries, are used to train hidden Markov model (HMM) structures to learn meter related temporal audio patterns which are correlated with the dance gures. Bi-gram based co-occurences of temporal audio patterns and dance gures are calculated. and bi-gram based co-occurrence performances for two di erent audio feature streams are evaluated. In our evaluations, mel-scale cepstral coe cients (MFCC) with their rst and second derivatives and chroma features are used as our candidate audio feature set. The proposed framework in this thesis, can be used towards analysis and synthesis of audio-driven human body animation.

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Music driven dance synthesis by multimodal dance performance analysis

Music-Driven Dance Synthesis by Multimodal Dance Performance Analysis

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