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: "texture features for the reproduction of the perceptual organization of sound"
  Abstract: Human categorization of sound seems predominantly based on sound source properties. To estimate these source properties we propose a novel sound analysis method, which separates sound into different sonic textures: tones, pulses, and broadband noises. The audible presence of tones or pulses corresponds to more extended cochleagram patterns than can be expected on the basis of correlations introduced by the gammachirp filterbank alone. We design tract features to respond to these extended patterns, and use these to identify areas of the time-frequency plane as tonal, pulsal, and noisy. Where an area is marked as noisy if it is neither tonal nor pulsal. To investigate whether a similar separation indeed underlies human perceptual organization we introduce tract based descriptors: tonality, pulsality, and noisiness. These descriptors keep track of either the total energy or the cochleagram area marked as respectively tonal, pulsal, and noisy. Energy based tonality and pulsality is strongly correlated with the first perceptual dimension of human subjects, while energy based noisiness correlates moderately with the second perceptual dimension. We conclude that harmonic, impact and continuous process sounds can be largely separated with energy based tonality, pulsality and noisiness.

Connected through hyperedge HE-1 (induced by source paper "time frequency or time scale representation fission and fusion rules"):
  with members:
    - "the numpy array a structure for efficient numerical computation"

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.SD(Sound)