Blog(1)

• A Multi-Stage Framework for Emotion-Cause Pair Extraction in Conversations

  In human-computer interaction, it is crucial for agents to respond to human by understanding their emotions.

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Publications(6)

• Affective Processes: stochastic modelling of temporal context for emotion and facial expression recognition

  AuthorEnrique Sanchez, Mani Kumar Tellamekala, Michel Valstar, Georgios Tzimiropoulos

  PublishedComputer Vision and Pattern Recognition (CVPR)

  Date2021-06-19

• Visually Guided Self Supervised Learning of Speech Representations

  AuthorAbhinav Shukla, Konstantinos Vougioukas, Pingchuan Ma, Stavros Petridis, Maja Pantic

  PublishedInternational Conference on Acoustics, Speech, and Signal Processing (ICASSP)

  Date2020-05-06

• Multi-head Attention for Speech Emotion Recognition with auxiliary learning of Gender Recognition

  AuthorAnish Nediyanchath, Periyasamy Paramasivam, Promod Yenigalla

  PublishedInternational Conference on Acoustics, Speech, and Signal Processing (ICASSP)

  Date2020-05-04

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News(3)

• [Blog] Multi-task Learning for Speech Emotion Recognition in Naturalistic Conditions

  Speech Emotion Recognition (SER) is a crucial task in human-computer interaction, enabling applications such as mental health monitoring, affective computing, and customer service automation.

• Samsung R&D Institute Poland Engineers Shine at INTERSPEECH 2025 Challenges and Conference

  The AI Solutions team at Samsung R&D Institute Poland (SRPOL) achieved outstanding results at INTERSPEECH 2025, securing 1st place in the Mice Autism Detection via Ultrasound Vocalisation (MADUV) Challenge, 2nd place in the Speech Emotion Recognition in Naturalistic Conditions Challenge, and having five papers accepted for presentation at the conference.

• [Blog] SAMSEMO: New Dataset for Multilingual and Multimodal Emotion Recognition

  The task of emotion recognition using image, audio and text modalities has recently attained popularity due to its various potential applications.

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