Multimodal Topic Segmentation of Podcast Shows with Pre-trained Neural Encoders-Reference-Cited by-同舟云学术

Multimodal Topic Segmentation of Podcast Shows with Pre-trained Neural Encoders

Published:2023-06-12 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 2023 ACM International Conference on Multimedia Retrieval
language:
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Author:

Ghinassi Iacopo¹^ORCID,Wang Lin¹^ORCID,Newell Chris²^ORCID,Purver Matthew³^ORCID

Affiliation:

1. School of Electronic Engineering and Computer Science, Queen Mary University of London, United Kingdom

2. R&D, BBC, United Kingdom

3. School of Electronic Engineering and Computer Science, Queen Mary University of London, United Kingdom and Institut Jožef Stefan, Slovenia

Funder

Slovenian Research Agency

Engineering and Physical Sciences Research Council

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3591106.3592270

Reference34 articles.

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4. Steven Bird and Ewan Klein . 2009. Natural Language Processing with Python: Analyzing Text with the Natural Language Toolkit . O’Reilly Media Inc . Steven Bird and Ewan Klein. 2009. Natural Language Processing with Python: Analyzing Text with the Natural Language Toolkit. O’Reilly Media Inc.

5. A sequential metric-based audio segmentation method via the Bayesian information criterion

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