Timbre Perception, Representation, and its Neuroscientific Exploration: A Comprehensive Review
Fuente:
arXiv
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| Autores principales: | , , |
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| Formato: | Preprint |
| Publicado: |
2024
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| Materias: | |
| Acceso en línea: | |
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| _version_ | 1866910457470648320 |
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| author | Zhang, Hong Lin, Jie Chen, Shengxuan |
| author_facet | Zhang, Hong Lin, Jie Chen, Shengxuan |
| contents | Timbre, the sound's unique "color", is fundamental to how we perceive and appreciate music. This review explores the multifaceted world of timbre perception and representation. It begins by tracing the word's origin, offering an intuitive grasp of the concept. Building upon this foundation, the article delves into the complexities of defining and measuring timbre. It then explores the concept and techniques of timbre space, a powerful tool for visualizing how we perceive different timbres. The review further examines recent advancements in timbre manipulation and representation, including the increasingly utilized machine learning techniques. While the underlying neural mechanisms remain partially understood, the article discusses current neuroimaging techniques used to investigate this aspect of perception. Finally, it summarizes key takeaways, identifies promising future research directions, and emphasizes the potential applications of timbre research in music technology, assistive technologies, and our overall understanding of auditory perception. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2405_13661 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | Timbre Perception, Representation, and its Neuroscientific Exploration: A Comprehensive Review Zhang, Hong Lin, Jie Chen, Shengxuan Sound Audio and Speech Processing Timbre, the sound's unique "color", is fundamental to how we perceive and appreciate music. This review explores the multifaceted world of timbre perception and representation. It begins by tracing the word's origin, offering an intuitive grasp of the concept. Building upon this foundation, the article delves into the complexities of defining and measuring timbre. It then explores the concept and techniques of timbre space, a powerful tool for visualizing how we perceive different timbres. The review further examines recent advancements in timbre manipulation and representation, including the increasingly utilized machine learning techniques. While the underlying neural mechanisms remain partially understood, the article discusses current neuroimaging techniques used to investigate this aspect of perception. Finally, it summarizes key takeaways, identifies promising future research directions, and emphasizes the potential applications of timbre research in music technology, assistive technologies, and our overall understanding of auditory perception. |
| title | Timbre Perception, Representation, and its Neuroscientific Exploration: A Comprehensive Review |
| topic | Sound Audio and Speech Processing |
| url | https://arxiv.org/abs/2405.13661 |