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 "phase recovery by unwrapping applications to music signal processing"):
  Abstract: This paper introduces a novel technique for reconstructing the phase of modified spectrograms of audio signals. From the analysis of mixtures of sinusoids we obtain relationships between phases of successive time frames in the Time-Frequency (TF) domain. Instantaneous frequencies are estimated locally to encompass the class of non-stationary signals such as vibratos. This technique ensures the horizontal coherence (over time) of the partials. The method is tested on a variety of data and demonstrates better performance than traditional consistency-based approaches. We also introduce an audio restoration framework and obtain results that compete with other state-of-the-art methods. Finally, we apply this phase recovery method to an audio source separation task where the spectrograms of the isolated components are known. We propose to use the phase unwrapping estimate to initialize a source separation iterative procedure. Experiments conducted on realistic music pieces demonstrate the effectiveness of such a method for various music signal processing tasks.

Includes members:
  Member "multi scale multi band densenets for audio source separation":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "source separation with weakly labelled data an approach to computational auditory scene analysis")
  Member "phase reconstruction of spectrograms with linear unwrapping application to audio signal restoration":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "complex isnmf a phase aware model for monaural audio source separation")
  Member "complex nmf under phase constraints based on signal modeling application to audio source separation":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "complex isnmf a phase aware model for monaural audio source separation")
  Member "phase reconstruction of spectrograms based on a model of repeated audio events":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "model based stft phase recovery for audio source separation")
  Member "phase recovery in nmf for audio source separation an insightful benchmark":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "online spectrogram inversion for low latency audio source separation")
  Member "wirtinger s calculus in general hilbert spaces":
    also connected through other hyperedges:
      - Hyperedge HE-6 (induced by source paper "model based stft phase recovery for audio source separation")

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)