Integrating IP Broadcasting with Audio Tags: Workflow and Challenges
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arXiv
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| Main Authors: | , , , |
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| Format: | Preprint |
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2024
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| _version_ | 1866913959385235456 |
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| author | Burchett-Vass, Rhys Singh, Arshdeep Bibbó, Gabriel Plumbley, Mark D. |
| author_facet | Burchett-Vass, Rhys Singh, Arshdeep Bibbó, Gabriel Plumbley, Mark D. |
| contents | The broadcasting industry has adopted IP technologies, revolutionising both live and pre-recorded content production, from news gathering to live music events. IP broadcasting allows for the transport of audio and video signals in an easily configurable way, aligning with modern networking techniques. This shift towards an IP workflow allows for much greater flexibility, not only in routing signals but with the integration of tools using standard web development techniques. One possible tool could include the use of live audio tagging, which has a number of uses in the production of content. These could include adding sound effects to automated closed captioning or identifying unwanted sound events within a scene. In this paper, we describe the process of containerising an audio tagging model into a microservice, a small segregated code module that can be integrated into a multitude of different network setups. The goal is to develop a modular, accessible, and flexible tool capable of seamless deployment into broadcasting workflows of all sizes, from small productions to large corporations. Challenges surrounding latency of the selected audio tagging model and its effect on the usefulness of the end product are discussed. |
| format | Preprint |
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arxiv_https___arxiv_org_abs_2407_15423 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | Integrating IP Broadcasting with Audio Tags: Workflow and Challenges Burchett-Vass, Rhys Singh, Arshdeep Bibbó, Gabriel Plumbley, Mark D. Audio and Speech Processing Artificial Intelligence Multimedia Sound The broadcasting industry has adopted IP technologies, revolutionising both live and pre-recorded content production, from news gathering to live music events. IP broadcasting allows for the transport of audio and video signals in an easily configurable way, aligning with modern networking techniques. This shift towards an IP workflow allows for much greater flexibility, not only in routing signals but with the integration of tools using standard web development techniques. One possible tool could include the use of live audio tagging, which has a number of uses in the production of content. These could include adding sound effects to automated closed captioning or identifying unwanted sound events within a scene. In this paper, we describe the process of containerising an audio tagging model into a microservice, a small segregated code module that can be integrated into a multitude of different network setups. The goal is to develop a modular, accessible, and flexible tool capable of seamless deployment into broadcasting workflows of all sizes, from small productions to large corporations. Challenges surrounding latency of the selected audio tagging model and its effect on the usefulness of the end product are discussed. |
| title | Integrating IP Broadcasting with Audio Tags: Workflow and Challenges |
| topic | Audio and Speech Processing Artificial Intelligence Multimedia Sound |
| url | https://arxiv.org/abs/2407.15423 |