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| DC 欄位 | 值 | 語言 |
|---|---|---|
| dc.contributor.advisor | 鄭士康(Shyh-Kang Jeng) | |
| dc.contributor.author | Ping-Chang(Andy) Chung | en |
| dc.contributor.author | 鍾秉璋 | zh_TW |
| dc.date.accessioned | 2021-06-08T02:54:54Z | - |
| dc.date.copyright | 2017-08-20 | |
| dc.date.issued | 2017 | |
| dc.date.submitted | 2017-08-07 | |
| dc.identifier.citation | [1] D. Wang, “Primitive auditory segregation based on oscillatory correlation,” Cognitive Science, vol. 20, no. 3, pp. 409–456, 1996.
[2] A. S. Bregman, Auditory scene analysis. The Perceptual Organization of Sound. Cambridge, MA: MIT Press, 1990. [3] C. Von Der Malsburg, “The correlation theory of brain function.,” Models of neural networks II, no. July 1981, pp. 1–26, 1994. [4] C. von der Malsburg and W. Schneider, “A neural cocktail-party processor,” Biological Cybernetics, vol. 54, no. 1, pp. 29–40, 1986. [5] C. Eliasmith, How to Build a Brain : A Neural Architecture for Biological Cognition. Oxford University Press, 2013. [6] T. W. Parsons, “Separation of speech from interfering speech by means of harmonic selection,” The Journal of the Acoustical Society of America, vol. 60, p. 911, 1976. [7] M. Weintraub, “A computational model for separating two simultaneous talkers,” Acoustics, Speech, and Signal Processing, IEEE International Conference on ICASSP ’86. (Volume:11 ), pp. 81–84, 1986. [8] D. Mellinger, “Event formation and separation in musical sound,” Department of Music, Center for Computer Research in Music and Acoustics, vol. Ph.D., p. 244, 1991. [9] G. J. Brown and M. Cooke, “Computational Auditory Scene Analysis,” Computer Speech & Language, vol. 8, no. 4, pp. 297–336, 1994. [10] D. P. W. Ellis, “Prediction-driven computational auditory scene analysis,” hons) Engineering Cambridge University S.M. Electrical Engineering Massachusetts Institute of Technology, 1987. [11] H. T. Kunio Kashino, Kazuhiro Nakadai, Tomoyoshi Kinoshita, “Application of Bayesian Probability Network to Music Scene Analysis,” Computational auditory scene analysis, no. November 1995, pp. 115–137, 1998. [12] D. Terman and D. Wang, “Global competition and cooperation in a network of neural oscillator,” Physica D, vol. 81, pp. 148–176, 1995. [13] D. Wang, “Auditory stream segregation based on oscillatory correlation,” Proceedings of IEEE Conference on Neural Networks for Signal Processing, pp. 624–632, 1994. [14] D. Wang and D. Terman, “Locally Excitatory Globally Inhibitory Oscillator Networks,” IEEE Transactions on Neural Networks, vol. 6, no. 1, pp. 283–286, 1995. [15] D. L. Wang and G. J. Brown, “Separation of speech from interfering sounds based on oscillatory correlation,” IEEE Transactions on Neural Networks, vol. 10, no. 3, pp. 684–697, 1999. [16] S. R. Campbell, D. L. Wang, and C. Jayaprakash, “Synchrony and desynchrony in integrate-and-fire oscillators.,” Neural Comput, vol. 11, no. 7, pp. 1595–1619, 1999. [17] A. J. W. Van Der Kouwe, D. L. Wang, and G. J. Brown, “A comparison of auditory and blind separation techniques for speech segregation,” IEEE Transactions on Speech and Audio Processing, vol. 9, no. 3, pp. 189–195, 2001. [18] J. J. Fox, C. Jayaprakash, D. Wang, and S. R. Campbell, “Synchronization in relaxation oscillator networks with conduction delays.,” Neural computation, vol. 13, pp. 1003–1021, 2001. [19] G. J. Brown and J. Barker, “A neural oscillator sound separator for missing data speech recognition,” IJCNN’01. International Joint Conference on Neural Networks. Proceedings (Cat. No.01CH37222), pp. 2907–2912, 2001. [20] C. Eliasmith and C. H. Anderson, Neural engineering: Computation, resentation and dynamics in neurobiological systems. Cambridge,MA: The MIT Press, 2002. [21] L. P. A. S. van Noorden, “Temporal coherence in the perception of tone sequences,” Uma ética para quantos?, vol. XXXIII, no. 2, pp. 81–87, 2014. [22] S. McAdams and A. S. Bregman, “Hearing Musical Streams,” Computer Music Journal, vol. 3, no. 4, pp. 26–43, 1979. [23] B. van der Pol, “LXXXVIII. On ‘relaxation-oscillations,’” The London, Edinburgh, and Dublin Philosophical Magazine and Journal of Science, vol. 2, no. 11, pp. 978–992, 1926. [24] D. Somers and N. Kopell, “Rapid synchronization through fast threshold modulation,” Biological Cybernetics, vol. 68, no. 5, pp. 393–407, 1993. [25] C. Morris and H. Lecar, “Voltage oscillations in the barnacle giant muscle fiber,” Biophysical Journal, vol. 35, no. 1, pp. 193–213, 1981. [26] H. R. Wilson and J. D. Cowan, “Excitatory and Inhibitory Interactions in Localized Populations of Model Neurons,” Biophysical Journal, vol. 12, no. 1, pp. 1–24, 1972. [27] D. L. Wang and D. Terman, “Image segmentation based on oscillatory correlation,” Neural Computation, vol. 9, no. 4, pp. 805–836, 1997. [28] G. J. Brown and D. W. D. Wang, “Modelling the Perceptual Separation of Concurrent Vowels with a Network of Neural Oscillators,” Proceedings of International Conference on Neural Networks (ICNN’97), vol. 1, no. 9, pp. 1547–1558, 1997. [29] K. Chen and D. Wang, “A dynamically coupled neural oscillator network for image segmentation,” Neural Networks, vol. 15, no. 3, pp. 423–439, 2002. [30] G. J. Brown and D. Wang, “Modelling the perceptual segregation of double vowels with a network of neural oscillators,” Neural Networks, vol. 10, no. 9, pp. 1547–1558, 1997. | |
| dc.identifier.uri | http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/20601 | - |
| dc.description.abstract | In this thesis, we proposed a novel unsupervised oscillatory neural network model for the segregation of auditory signals. The proposed model is inspired by the Locally Excitatory Globally Inhibitory Oscillator Networks (LEGION) model presented in [1]. It consists of relaxation oscillators and a global inhibitor to mimic the neural oscillation. In order to maximize the model’s biological plausibility, we built the proposed model within Nengo (Neural Engineering Object), which is a Python neural simulator based upon the Neural Engineering Framework (NEF). At the end, our model is able to recognize the number of sound sources by analyzing a given correlogram. To ensure the correctness of the simulation results and to observe the proposed model’s cognitive process in the biological substrate, we also compare the simulation results of the proposed model with the ones of Wang’s LEGION model, which we built in MATLAB (Matrix Laboratory). | en |
| dc.description.provenance | Made available in DSpace on 2021-06-08T02:54:54Z (GMT). No. of bitstreams: 1 ntu-106-R04921001-1.pdf: 4400764 bytes, checksum: 81b05ffa0aa18025a5a8c5ef8ec7b817 (MD5) Previous issue date: 2017 | en |
| dc.description.tableofcontents | 口試委員會審定書 #
ACKNOWLEDGMENTS i 中文摘要 iii ABSTRACT iv CONTENTS v LIST OF FIGURES vii Chapter 1 Introduction 1 1.1 Motivation and Objectives 1 1.2 Literature Survey 2 Chapter 2 Background Knowledge 5 2.1 “Auditory Streaming” Phenomenon 5 2.2 Principles of Grouping 6 2.2.1 Proximity 6 2.2.2 Common Fate 8 2.3 Schematic Diagram of Wang’s Model 8 2.4 Relaxation Oscillators 9 2.5 LEGION Model Architecture 11 2.6 Runge-Kutta Method 16 Chapter 3 System Architecture in Nengo 18 3.1 Local Oscillator 18 3.2 Globally Inhibitor 19 3.3 The Proposed LEGION Model 21 3.4 Wang’s LEGION Model in Nengo 22 Chapter 4 Simulation Results and Expected Results 25 4.1 Single Relaxation Oscillator 25 4.2 One-dimensional LEGION model 30 4.3 Two-dimensional LEGION model 32 4.3.1 Demonstration of Proximity 33 4.3.2 Demonstration of Common Fate 35 4.3.3 Simulation Result of Wang’s LEGION model in Nengo 37 4.4 Mixture of Sounds 39 Chapter 5 Conclusion 43 REFERENCE 44 Appendix 48 System Architecture in MATLAB 48 | |
| dc.language.iso | en | |
| dc.title | Nengo Implementation of an Unsupervised Oscillatory Neural Network for the Segregation of Auditory Signals | zh_TW |
| dc.type | Thesis | |
| dc.date.schoolyear | 105-2 | |
| dc.description.degree | 碩士 | |
| dc.contributor.oralexamcommittee | 張智星(Jyh-Shing Roger Jang),劉奕汶(Yi-Wen Liu) | |
| dc.subject.keyword | 類神經網路, | zh_TW |
| dc.subject.keyword | LEGION,oscillatory correlation, | en |
| dc.relation.page | 50 | |
| dc.identifier.doi | 10.6342/NTU201702562 | |
| dc.rights.note | 未授權 | |
| dc.date.accepted | 2017-08-08 | |
| dc.contributor.author-college | 電機資訊學院 | zh_TW |
| dc.contributor.author-dept | 電機工程學研究所 | zh_TW |
| 顯示於系所單位： | 電機工程學系 | |
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