4 accepted papers
Existing game AI research mainly focuses on enhancing agents' abilities to win games, but this does not inherently make humans have a better experience when collaborating with these agents. For example, agents may dominate the collaboration and exhibit unintended or detrimental behaviors, leading to…
This paper describes NIO system for audio-visual diarization and recognition in the Multimodal Information Based Speech Processing (MISP) Challenge 2022. In our system, we proposed combining end-to-end audio-visual neural speaker diarization model and Channel-wise Av-fusion encoder with speaker sign…
MOBA games, e.g., Dota2 and Honor of Kings, have been actively used as the testbed for the recent AI research on games, and various AI systems have been developed at the human level so far. However, these AI systems mainly focus on how to compete with humans, less on exploring how to collaborate wit…
In this paper we describe a speaker diarization system that enables localization and identification of all speakers present in a conversation or meeting. We propose a novel systematic approach to tackle several long-standing challenges in speaker diarization tasks: (1) to segment and separate overla…