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| Main Authors: | , |
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| Format: | Preprint |
| Published: |
2024
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| Subjects: | |
| Online Access: | https://arxiv.org/abs/2403.09789 |
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| _version_ | 1866913265893769216 |
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| author | Shu, Nicolas Anderson, David V. |
| author_facet | Shu, Nicolas Anderson, David V. |
| contents | There are many packages in Python which allow one to perform real-time processing on audio data. Unfortunately, due to the synchronous nature of the language, there lacks a framework which allows for distributed parallel processing of the data without requiring a large programming overhead and in which the data acquisition is not blocked by subsequent processing operations. This work improves on packages used for audio data collection with a light-weight backend and a simple interface that allows for distributed processing through a socket-based structure. This is intended for real-time audio machine learning and data processing in Python with a quick deployment of multiple parallel operations on the same data, allowing users to spend less time debugging and more time developing. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2403_09789 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | Audiosockets: A Python socket package for Real-Time Audio Processing Shu, Nicolas Anderson, David V. Audio and Speech Processing Sound There are many packages in Python which allow one to perform real-time processing on audio data. Unfortunately, due to the synchronous nature of the language, there lacks a framework which allows for distributed parallel processing of the data without requiring a large programming overhead and in which the data acquisition is not blocked by subsequent processing operations. This work improves on packages used for audio data collection with a light-weight backend and a simple interface that allows for distributed processing through a socket-based structure. This is intended for real-time audio machine learning and data processing in Python with a quick deployment of multiple parallel operations on the same data, allowing users to spend less time debugging and more time developing. |
| title | Audiosockets: A Python socket package for Real-Time Audio Processing |
| topic | Audio and Speech Processing Sound |
| url | https://arxiv.org/abs/2403.09789 |