human: Given a hyperedge-centered hypergraph: <hypergraph>, where the center hyperedge is induced by one source paper and its member nodes are the cited papers.

Details of the hypergraph:
Center hyperedge (induced by source paper "understanding the visual speech signal"):
  Abstract: For machines to lipread, or understand speech from lip movement, they decode lip-motions (known as visemes) into the spoken sounds. We investigate the visual speech channel to further our understanding of visemes. This has applications beyond machine lipreading; speech therapists, animators, and psychologists can benefit from this work. We explain the influence of speaker individuality, and demonstrate how one can use visemes to boost lipreading.

Includes members:
  Member "finding phonemes improving machine lip reading":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "visual speech recognition aligning terminologies for better understanding")
  Member "speaker independent machine lip reading with speaker dependent viseme classifiers":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "algorithms that remember model inversion attacks and data protection law")
  Member "which phoneme to viseme maps best improve visual only computer lip reading":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "pushing the boundaries of audiovisual word recognition using residual networks and lstms")
  Member "some observations on computer lip reading moving from the dream to the reality":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "phoneme to viseme mappings")
  Member "decoding visemes improving machine lipreading":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "large scale visual speech recognition")
  Member "visual gesture variability between talkers in continuous speech":
    also connected through other hyperedges:
      - Hyperedge HE-6 (induced by source paper "the speaker independent lipreading play off a survey of lipreading machines")

Question: Please tell me which class the source paper belongs to. The 40 classes are: cs.NA(Numerical Analysis), cs.MM(Multimedia), cs.LO(Logic in Computer Science), cs.CY(Computers and Society), cs.CR(Cryptography and Security), cs.DC(Distributed, Parallel, and Cluster Computing), cs.HC(Human-Computer Interaction), cs.CE(Computational Engineering, Finance, and Science), cs.NI(Networking and Internet Architecture), cs.CC(Computational Complexity), cs.AI(Artificial Intelligence), cs.MA(Multiagent Systems), cs.GL(General Literature), cs.NE(Neural and Evolutionary Computing), cs.SC(Symbolic Computation), cs.AR(Hardware Architecture), cs.CV(Computer Vision and Pattern Recognition), cs.GR(Graphics), cs.ET(Emerging Technologies), cs.SY(Systems and Control), cs.CG(Computational Geometry), cs.OH(Other Computer Science), cs.PL(Programming Languages), cs.SE(Software Engineering), cs.LG(Machine Learning), cs.SD(Sound), cs.SI(Social and Information Networks), cs.RO(Robotics), cs.IT(Information Theory), cs.PF(Performance), cs.CL(Computation and Language), cs.IR(Information Retrieval), cs.MS(Mathematical Software), cs.FL(Formal Languages and Automata Theory), cs.DS(Data Structures and Algorithms), cs.OS(Operating Systems), cs.GT(Computer Science and Game Theory), cs.DB(Databases), cs.DL(Digital Libraries), cs.DM(Discrete Mathematics). Directly output the class name.

gpt: cs.CV(Computer Vision and Pattern Recognition)