human: Given a node-centered hypergraph: <hypergraph>, where nodes represent papers and hyperedges represent sets of papers co-cited by a source paper.

Details of the hypergraph:
Center node: "high quality low delay music coding in the opus codec"
  Abstract: The IETF recently standardized the Opus codec as RFC6716. Opus targets a wide range of real-time Internet applications by combining a linear prediction coder with a transform coder. We describe the transform coder, with particular attention to the psychoacoustic knowledge built into the format. The result out-performs existing audio codecs that do not operate under real-time constraints.

Connected through hyperedge HE-1 (induced by source paper "improving networked music performance systems using application network collaboration"):
  with members:
    - "shortcuts through colocation facilities"
    - "application network collaboration using sdn for ultra low delay teleorchestras"
    - "on the interplay of link flooding attacks and traffic engineering"
    - "stitching inter domain paths over ixps"

Connected through hyperedge HE-2 (induced by source paper "a hybrid dsp deep learning approach to real time full band speech enhancement"):
  with members:
    - "on the properties of neural machine translation encoder decoder approaches"
    - "microphone array post filter for separation of simultaneous non stationary sources"

Connected through hyperedge HE-3 (induced by source paper "perceptually driven video coding with the daala video codec"):
  with members:
    - "daala building a next generation video codec from unconventional technology"
    - "the daala directional deringing filter"
    - "predicting chroma from luma with frequency domain intra prediction"
    - "perceptual vector quantization for video coding"

Connected through hyperedge HE-4 (induced by source paper "daala building a next generation video codec from unconventional technology"):
  with members:
    - "the daala directional deringing filter"
    - "predicting chroma from luma with frequency domain intra prediction"
    - "perceptual vector quantization for video coding"

Connected through hyperedge HE-5 (induced by source paper "daala a perceptually driven next generation video codec"):
  with members:
    - "predicting chroma from luma with frequency domain intra prediction"
    - "perceptual vector quantization for video coding"

Connected through hyperedge HE-6 (induced by source paper "predicting chroma from luma with frequency domain intra prediction"):
  with members:
    - "perceptual vector quantization for video coding"

Connected through hyperedge HE-7 (induced by source paper "perceptual vector quantization for video coding"):
  with members:
    - "a high quality speech and audio codec with less than 10 ms delay"

Question: Please tell me which class the center node 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.MM(Multimedia)