Audio Atlas: Visualizing and Exploring Audio Datasets
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arXiv
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| Main Authors: | , , , |
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| Format: | Preprint |
| Published: |
2024
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| Subjects: | |
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| _version_ | 1866915042373402624 |
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| author | Lanzendörfer, Luca A. Grötschla, Florian Valizada, Uzeyir Wattenhofer, Roger |
| author_facet | Lanzendörfer, Luca A. Grötschla, Florian Valizada, Uzeyir Wattenhofer, Roger |
| contents | We introduce Audio Atlas, an interactive web application for visualizing audio data using text-audio embeddings. Audio Atlas is designed to facilitate the exploration and analysis of audio datasets using a contrastive embedding model and a vector database for efficient data management and semantic search. The system maps audio embeddings into a two-dimensional space and leverages DeepScatter for dynamic visualization. Designed for extensibility, Audio Atlas allows easy integration of new datasets, enabling users to better understand their audio data and identify both patterns and outliers. We open-source the codebase of Audio Atlas, and provide an initial implementation containing various audio and music datasets. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2412_00591 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | Audio Atlas: Visualizing and Exploring Audio Datasets Lanzendörfer, Luca A. Grötschla, Florian Valizada, Uzeyir Wattenhofer, Roger Sound Artificial Intelligence Audio and Speech Processing We introduce Audio Atlas, an interactive web application for visualizing audio data using text-audio embeddings. Audio Atlas is designed to facilitate the exploration and analysis of audio datasets using a contrastive embedding model and a vector database for efficient data management and semantic search. The system maps audio embeddings into a two-dimensional space and leverages DeepScatter for dynamic visualization. Designed for extensibility, Audio Atlas allows easy integration of new datasets, enabling users to better understand their audio data and identify both patterns and outliers. We open-source the codebase of Audio Atlas, and provide an initial implementation containing various audio and music datasets. |
| title | Audio Atlas: Visualizing and Exploring Audio Datasets |
| topic | Sound Artificial Intelligence Audio and Speech Processing |
| url | https://arxiv.org/abs/2412.00591 |