Navigating Speech Recording Collections with AI-Generated Illustrations
Fuente:
arXiv
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| Autores principales: | , , |
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| Formato: | Preprint |
| Publicado: |
2025
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| Acceso en línea: | |
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| _version_ | 1866918084926767104 |
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| author | Håland, Sirina Strøm, Trond Karlsen Galuščáková, Petra |
| author_facet | Håland, Sirina Strøm, Trond Karlsen Galuščáková, Petra |
| contents | Although the amount of available spoken content is steadily increasing, extracting information and knowledge from speech recordings remains challenging. Beyond enhancing traditional information retrieval methods such as speech search and keyword spotting, novel approaches for navigating and searching spoken content need to be explored and developed. In this paper, we propose a novel navigational method for speech archives that leverages recent advances in language and multimodal generative models. We demonstrate our approach with a Web application that organizes data into a structured format using interactive mind maps and image generation tools. The system is implemented using the TED-LIUM~3 dataset, which comprises over 2,000 speech transcripts and audio files of TED Talks. Initial user tests using a System Usability Scale (SUS) questionnaire indicate the application's potential to simplify the exploration of large speech collections. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2507_04182 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Navigating Speech Recording Collections with AI-Generated Illustrations Håland, Sirina Strøm, Trond Karlsen Galuščáková, Petra Information Retrieval Computation and Language Human-Computer Interaction Sound Audio and Speech Processing Although the amount of available spoken content is steadily increasing, extracting information and knowledge from speech recordings remains challenging. Beyond enhancing traditional information retrieval methods such as speech search and keyword spotting, novel approaches for navigating and searching spoken content need to be explored and developed. In this paper, we propose a novel navigational method for speech archives that leverages recent advances in language and multimodal generative models. We demonstrate our approach with a Web application that organizes data into a structured format using interactive mind maps and image generation tools. The system is implemented using the TED-LIUM~3 dataset, which comprises over 2,000 speech transcripts and audio files of TED Talks. Initial user tests using a System Usability Scale (SUS) questionnaire indicate the application's potential to simplify the exploration of large speech collections. |
| title | Navigating Speech Recording Collections with AI-Generated Illustrations |
| topic | Information Retrieval Computation and Language Human-Computer Interaction Sound Audio and Speech Processing |
| url | https://arxiv.org/abs/2507.04182 |