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PUMAVE-D: panjab university multilingual audio and video facial expression dataset

  • 1225: Sentient Multimedia Systems and Universal Visual Languages
  • Published:
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Abstract

Due to the significance of human behavioural intelligence in computing devices, this paper presents the Panjab University Multilingual Audio and Video Facial Expression (PUMAVE) dataset for multimodal emotion recognition in the Indian context. It discusses the characteristics and distinguishing features of the PUMAVE dataset compared with existing datasets. It described the detail procedure followed in the construction of PUMAVE dataset. The validation and reliability analysis are performed on the recorded speech and facial expressions of subjects in six emotions. The effectiveness of the recorded emotion clips is analysed against the responses of annotators. During and after responses, inter-rater responses, and intra-rater responses are analysed to measure the quality of subjective assessment, homogeneity, and consistency in the annotator responses. The PUMAVE dataset is the first multilingual tone-sensitive audio-video facial expression dataset which provides emotional labelled clips of subjects who speak the native language (Punjabi and Hindi) and foreign language (English).

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Data Availability

All recordings of the proposed PUMAVE are freely provided for academic research purposes under the license agreement with Design Innovation Centre, University Institute of Engineering and Technology, Panjab University, Chandigarh, INDIA.

Notes

  1. https://www.grassvalley.com/products/edius_pro_9/

  2. https://github.com/dicuietpu/PUEAT_Tool

    Fig. 6
    figure 6

    Flowchart of the working of developed PUEAT

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    Fig. 7
    figure 7

    Graphical user interface of developed PUEAT

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Acknowledgements

I would especially like to thank Rajwinder Singh, Harshita Puri, Vijay Paul Singh and other members of Design Innovation Centre, University Institute of Engineering and Technology, Panjab University, Chandigarh, for their support in the data collection phase of this research work.

Funding

This work was supported by University Grant Commission (UGC), Ministry of Human Resource Development (MHRD) of India under Basic Scientific Research (BSR) fellowship for meritorious fellows vide UGC letter no. F.25-1/2013-14(BSR)/7-379/2012(BSR) Dated 30.5. 2014.

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Authors and Affiliations

  1. University Institution of Engineering, Chandigarh University, Gharuan, Mohali, 140413, Punjab, India

    Lovejit Singh

  2. University Institution of Engineering and Technology, Panjab University, Sector 14, Chandigarh, 160014, India

    Naveen Aggarwal & Sarbjeet Singh

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  1. Lovejit Singh
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Correspondence to Lovejit Singh.

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Singh, L., Aggarwal, N. & Singh, S. PUMAVE-D: panjab university multilingual audio and video facial expression dataset. Multimed Tools Appl 82, 10117–10144 (2023). https://doi.org/10.1007/s11042-022-14102-5

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