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: "gedi gammachirp envelope distortion index for predicting intelligibility of enhanced speech"
  Abstract: In this study, we proposed a new concept, gammachirp envelope distortion index (GEDI), based on the signal-to-distortion ratio in the auditory envelope SDRenv, to predict the intelligibility of speech enhanced by nonlinear algorithms. The main objective of using GEDI is to calculate the distortion between enhanced and clean speech representations in the domain of a temporal envelope that is extracted by the gammachirp auditory filterbank and modulation filterbank. We also extended the GEDI with multi-resolution analysis (mr-GEDI) to predict the speech intelligibility of sound under non-stationary noise conditions. We evaluated the GEDI in terms of the speech intelligibility predictions of speech sounds enhanced by a classic spectral subtraction and a state-of-the-art Wiener filtering method. The predictions were compared with human results for various signal-to-noise ratio conditions with additive pink and babble noise. The results showed that mr-GEDI predicted the intelligibility curves more accurately than the short-time objective intelligibility (STOI) measure and the hearing aid speech perception index (HASPI).

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)