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Found 6 papers, 0 papers with code
Role of Audio in Audio-Visual Video Summarization
Video summarization attracts attention for efficient video representation, retrieval, and browsing to ease volume and traffic surge problems.
Experiments on Turkish ASR with Self-Supervised Speech Representation Learning
In this report, we present our findings on Turkish ASR with speech representation learning using HUBERT.
Automatic Speech Recognition
Automatic Speech Recognition (ASR)
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Use of Affective Visual Information for Summarization of Human-Centric Videos
Then, we integrate the estimated emotional attributes and the high-level representations from the CER-NET with the visual information to define the proposed affective video summarization architectures (AVSUM).
AffectON: Incorporating Affect Into Dialog Generation
For generating language in a targeted affect, our approach leverages a probabilistic language model and an affective space.
Batch Recurrent Q-Learning for Backchannel Generation Towards Engaging Agents
We present here a method for training a robot for backchannel generation during a human-robot interaction within the reinforcement learning (RL) framework, with the goal of maintaining high engagement level.
Speech Driven Backchannel Generation using Deep Q-Network for Enhancing Engagement in Human-Robot Interaction
Our experiments demonstrate the potential of our method to train a robot for engaging behaviors in an offline manner.
