NDLI: Multimodal embedding fusion for robust speaker role recognition in video broadcast

Content Provider	IEEE Xplore Digital Library
Author	Rouvier, Michael Delecraz, Sebastien Favre, Benoit Bendris, Meriem Bechet, Frederic
Copyright Year	2015
Description	Author affiliation: Aix-Marseille Université, CNRS, LIF, Marseille, France (Rouvier, Michael; Delecraz, Sebastien; Favre, Benoit; Bendris, Meriem; Bechet, Frederic)
Abstract	Person role recognition in video broadcasts consists in classifying people into roles such as anchor, journalist, guest, etc. Existing approaches mostly consider one modality, either audio (speaker role recognition) or image (shot role recognition), firstly because of the non-synchrony between both modalities, and secondly because of the lack of a video corpus annotated in both modalities. Deep Neural Networks (DNN) approaches offer the ability to learn simultaneously feature representations (embeddings) and classification functions. This paper presents a multimodal fusion of audio, text and image embeddings spaces for speaker role recognition in asynchronous data. Monomodal embeddings are trained on exogenous data and fine-tuned using a DNN on 70 hours of French Broadcasts corpus for the target task. Experiments on the REPERE corpus show the benefit of the embeddings level fusion compared to the monomodal embeddings systems and to the standard late fusion method.
Starting Page	383
Ending Page	389
File Size	191700
Page Count	7
File Format	PDF
e-ISBN	9781479972913
DOI	10.1109/ASRU.2015.7404820
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2015-12-13
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Feature extraction Image recognition Visualization Acoustics Speech Neural networks Support vector machines broadcast News Speaker role recognition multimodal speaker embeddings
Content Type	Text
Resource Type	Article

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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