Generating Instrument Sounds Aligned with Video via Human Body Keypoints : A Deep Learning Approach to Multimodal Audio-Visual Synthesis
Language: English
Published by GRIN Verlag, 2026
- Softcover
- New
Seller: AHA-BUCH GmbH, Einbeck, GermanyAHA-BUCH GmbH
AbeBooks seller since August 14, 2006
Condition: New
£ 16.74
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Add to basketItem description from seller
Druck auf Anfrage Neuware - Printed after ordering - Research Paper (undergraduate) from the year 2026 in the subject Computer Science, grade: Good, , language: English, abstract: Historical video archives and recordings from the past often suffer from degraded or completely missing audio tracks due to deterioration of storage media, recording limitations of the era, or loss during archival processes. Similarly, silent films and performance documentation may lack synchronized sound entirely. Emerging generative artificial intelligence techniques have demonstrated the potential to reconstruct missing audio content by analyzing visual information alone-a capability particularly valuable for restoring cultural heritage materials and historical performance recordings. However, when applied to complex activities such as musical instrument performance, existing methods have shown limited accuracy in capturing the nuances of sound production. Prior research has established that SpecVQGAN architectures combined with Transformer-based mechanisms can improve video-to-audio generation. This work introduces an enhanced model that augments SpecVQGAN by incorporating human skeletal pose features, specifically designed to elevate the quality of generated musical instrument sounds. Through comprehensive evaluation using both subjective user studies and objective quantitative metrics, we demonstrate that the proposed framework significantly outperforms existing approaches in reconstructing authentic instrumental audio from archival and silent performance videos.…
Seller Inventory # 9783389179833
- Title
- Generating Instrument Sounds Aligned with Video via Human Body Keypoints : A Deep Learning Approach to Multimodal Audio-Visual Synthesis
- Author
- Yasuyuki Tahara
- Publisher
- GRIN Verlag
- Publication year
- 2026
- Condition
- Neu
- Binding
- Taschenbuch
- Language
- English
- ISBN 10
- 3389179836
- ISBN 13
- 9783389179833
- Item weight
- 73 grams
- Dimensions
- 210x148x4 mm
"Synopsis" may belong to another edition of this title.
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