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 "glottal source processing from analysis to applications"):
  Abstract: The great majority of current voice technology applications relies on acoustic features characterizing the vocal tract response, such as the widely used MFCC of LPC parameters. Nonetheless, the airflow passing through the vocal folds, and called glottal flow, is expected to exhibit a relevant complementarity. Unfortunately, glottal analysis from speech recordings requires specific and more complex processing operations, which explains why it has been generally avoided. This review gives a general overview of techniques which have been designed for glottal source processing. Starting from fundamental analysis tools of pitch tracking, glottal closure instant detection, glottal flow estimation and modelling, this paper then highlights how these solutions can be properly integrated within various voice technology applications.

Includes members:
  Member "on the mutual information between source and filter contributions for voice pathology detection":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "phase based information for voice pathology detection")
  Member "a comparative evaluation of pitch modification techniques":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "the deterministic plus stochastic model of the residual signal and its applications")
  Member "phase based information for voice pathology detection":
    also connected through other hyperedges:
      (none)
  Member "the deterministic plus stochastic model of the residual signal and its applications":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "a comparative study of pitch extraction algorithms on a large variety of singing sounds")
  Member "glottal closure and opening instant detection from speech signals":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "excitation based voice quality analysis and modification")
  Member "causal anticausal decomposition of speech using complex cepstrum for glottal source estimation":
    also connected through other hyperedges:
      (none)
  Member "joint robust voicing detection and pitch estimation based on residual harmonics":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "factorized multimodal transformer for multimodal sequential learning")
  Member "complex cepstrum based decomposition of speech for glottal source estimation":
    also connected through other hyperedges:
      - Hyperedge HE-6 (induced by source paper "excitation based voice quality analysis and modification")

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.SD(Sound)