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SUMMARY:Audio-Visual Learning: Challenges and New Approaches - Dr Jie Pu\,
  Cambridge University Engineering Department
DTSTART:20210518T110000Z
DTEND:20210518T120000Z
UID:TALK160318@talks.cam.ac.uk
CONTACT:Dr Kate Knill
DESCRIPTION:*Abstract*: Audio-visual learning is a research topic that aim
 s at exploiting the relationship between audio and visual modalities. By l
 everaging these two modalities\, we could either improve the performance o
 f previously considered single-modality tasks or address new challenging p
 roblems. With the success of deep-learning base methods\, some challenging
  audio-visual problems that are infeasible before becomes possible\, e.g. 
 audio-visual generation. In this talk\, I will present the recent developm
 ent of audio-visual learning\, along with my PhD works. Several interestin
 g applications in audio-visual learning will be visited\, such as audio-vi
 sual separation and localization\, audio-visual speech recognition and enh
 ancement\, audio-visual generation. I will review state-of-the-art approac
 hes on these applications\, and also discuss some of the challenges and op
 portunities in the future.\n\n*Bio*: Jie Pu is a research associate in the
  Machine Intelligence Laboratory\, University of Cambridge. He is a member
  of the Speech Research Group and works with Professor Mark Gales. His wor
 k primarily focuses on audio-visual learning\, computer vision and speech 
 analysis. Prior to this\, Jie completed his PhD with Professor Maja Pantic
  at Imperial College London.\n
LOCATION:Zoom: https://zoom.us/j/95352633552?pwd=RzJVK2UzOGZyNU5mVHd1Y1VPT
 2tDUT09
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