NDLI: Multimodal Emotion Recognition for AVEC 2016 Challenge

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Content Provider	ACM Digital Library
Author	Popková, Anna Hradis, Michal Wood, Ian Lamel, Lori Matejka, Pavel Povolny, Filip Smrz, Pavel Robin, Cecile Otrusina, Lubomir
Abstract	This paper describes a systems for emotion recognition and its application on the dataset from the AV+EC 2016 Emotion Recognition Challenge. The realized system was produced and submitted to the AV+EC 2016 evaluation, making use of all three modalities (audio, video, and physiological data). Our work primarily focused on features derived from audio. The original audio features were complement with bottleneck features and also text-based emotion recognition which is based on transcribing audio by an automatic speech recognition system and applying resources such as word embedding models and sentiment lexicons. Our multimodal fusion reached CCC=0.855 on dev set for arousal and 0.713 for valence. CCC on test set is 0.719 and 0.596 for arousal and valence respectively.
Starting Page	75
Ending Page	82
Page Count	8
File Format	PDF
ISBN	9781450345163
DOI	10.1145/2988257.2988268
Language	English
Publisher	Association for Computing Machinery (ACM)
Publisher Date	2016-10-16
Publisher Place	New York
Access Restriction	Subscribed
Subject Keyword	Emotion recognition Valence Neural networks Speech transcription Arousal Regression Bottleneck features Word embedding
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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Multimodal Emotion Recognition for AVEC 2016 Challenge