1. [1] A. McCallum, "An Ecologically Valid Evaluation of Speech Summarizationin the University Lecture Domain," MSc thesis, University of Toronto, 2012.
2. [2] S. R. Maskey, "Automatic Broadcast News Speech Summarization," PhD thesis, School of Arts and Sciences, Columbia University, 2008.
3. [3] R. Flamary, X. Anguera, and N. Oliver, "Spoken WordCloud: Clustering recurrent patterns in speech," in CBMI 2011, pp. 133-138.
4. [4] Y. Liu, S. Xie, and F. Liu, "Using n-best recognition output for extractive summarization and keyword extraction in meeting speech," in ICASSP 2010, pp. 5310-5313.
5. [5] S. Xie and Y. Liu, "Using N-Best Lists and Confusion Networks for Meeting Summariza-tion," IEEE Transactions on Audio, Speech & Language Processing, vol. 19, no. 5, pp. 1160-1169, 2011. [
DOI:10.1109/TASL.2010.2082534]
6. [6] J. Zhang, R. H. Y. Chan, P. Fung, and L. Cao, "A comparative study on speech summarization of broadcast news and lecture speech," in INTERSPEECH 2007, pp. 2781-2784.
7. [7] S. Xie, D. Hakkani-Tür, B. Favre, and Y. Liu, "Integrating prosodic features in extractive meeting summarization," in ASRU, Mer-ano/Meran, Italy, 2009, pp. 387-391.
8. [8] S. Xie, Y. Liu, and H. Lin, "Evaluating the effectiveness of features and sampling in extractive meeting summarization," presented at the SLT 2008.
9. [9] S. Xie and Y. Liu, "Improving supervised learning for meeting summarization using sampling and regression," Computer Speech & Language, vol. 24, no. 3, pp. 495-514, 2010. [
DOI:10.1016/j.csl.2009.04.007]
10. [10] S.-H. Lin and B. Chen, "A Risk Minimization Framework for Extractive Speech Summariza-tion," in ACL Uppsala, Sweden, 2010, pp. 79-87.
11. [11] B. Chen and S.-H. Lin, "A Risk-Aware Modeling Framework for Speech Summariza-tion," IEEE Transactions on Audio, Speech & Language Processing, vol. 20, no. 1, pp. 211-222, 2012. [
DOI:10.1109/TASL.2011.2159596]
12. [12] J. J. Zhang and P. Fung, "Learning deep rhetorical structure for extractive speech summarization," in ICASSP, 2010, pp. 5302-5305.
13. [13] J. Zhang, H. Yuan, and X. Pan, "rhetorical-state SVM for Lecture speech summarization," In-formation Technology Journal, 2014.
14. [14] S.-H. Lin, Y.-M. Yeh, and B. Chen, "Leveraging Kullback–Leibler Divergence Measures and Information-Rich Cues for Speech Summariza-tion," IEEE Transactions on Audio, Speech, and Language, vol. 19 no. 4, pp. 871-882, May 2011. [
DOI:10.1109/TASL.2010.2066268]
15. [15] S. Xie, H. Lin, and Y. Liu, "Semi-supervised extractive speech summarization via co-training algorithm," in INTERSPEECH 2010, pp. 2522-2525.
16. [16] B. Chen, H.-C. Chang, and K.-Y. Chen, "Sentence modeling for extractive speech summarization," in ICME, San Jose, CA, USA, 2013, pp. 1-6.
17. [17] B. Chen, S.-H. Lin, Y.-M. Chang, and J.-W. Liu, "Extractive speech summarization using evaluation metric-related training criteria," Information Processing and Management, vol. 49, no. 1, pp. 1-12, 2013. [
DOI:10.1016/j.ipm.2011.12.002]
18. [18] D. Gillick, K. Riedhammer, B. Favre, and D. Z. Hakkani-Tür, "A global optimization framework for meeting summarization," in ICASSP 2009, pp. 4769-4772.
19. [19] K. Riedhammer, B. Favre, and D. Hakkani-Tür, "Long story short - Global unsupervised models for keyphrase based meeting summarization," Speech Communication, vol. 52, pp. 801-815, 2010. [
DOI:10.1016/j.specom.2010.06.002]
20. [20] Y.-N. Chen, Y. Huang, C.-f. Yeh, and L.-S. Lee, "Spoken Lecture Summarization by Random Walk over a Graph Constructed with Automati-cally Extracted Key Terms," in INTERSPEECH 2011, pp. 933-936.
21. [21] T. J. Hazen, "Latent Topic Modeling for Audio Corpus Summarization," in INTERSPEECH 2011, pp. 913-916.
22. [22] L. Wang and C. Cardie, "Unsupervised Topic Modeling Approaches to Decision Summariza-tion in Spoken Meetings," in SIGDIAL Confer-ence, 2012, pp. 40-49.
23. [23] K.-Y. Chen et al., "Extractive Broadcast News Summarization Leveraging Recurrent Neural Network Language Modeling Techniques," IEEE/ACM Transactions on Audio, Speech & Language Process-ing, vol. 23, no. 8, pp. 1322-1334, 2015.
24. [24] M. H. Bokaei, H. Sameti, and Y. Liu, "Extractive summarization of multi-party meet-ings through discourse segmentation," Natural Language Engineering, vol. 22, no. 1, pp. 41-72, 2016. [
DOI:10.1017/S1351324914000199]
25. [25] M.-H. Siu, H. Gish, A. Chan, W. Belfield, and S. Lowe, "Unsupervised training of an HMM-based self-organizing unit recognizer with applications to topic classification and keyword discovery," Computer Speech & Language, vol. 28, no. 1, pp. 210-223, 2014. [
DOI:10.1016/j.csl.2013.05.002]
26. [26] N. F. Chen, B. Ma, and H. Li, "Minimal-resource phonetic language models to summar-ize untranscribed speech," in ICASSP 2013, pp. 8357-8361.
27. [27] A. Muscariello, G. Gravier, and F. Bimbot, "Unsupervised Motif Acquisition in Speech via Seeded Discovery and Template Matching Combination," IEEE Transactions on Audio, Speech & Language Processing, vol. 20, no. 7, pp. 2031-2044, 2012. [
DOI:10.1109/TASL.2012.2194283]
28. [28] J. R. Glass, "Towards unsupervised speech processing," in ISSPA Montreal, QC, Canada, 2012, pp. 1-4.
29. [29] D. F. Harwath, T. J. Hazen, and J. R. Glass, "Zero resource spoken audio corpus analysis," in ICASSP 2013, pp. 8555-8559.
30. [30] S. Maskey and J. Hirschberg, "Summarizing Speech Without Text Using Hidden Markov Models," presented at the HLT-NAACL, 2006. [
DOI:10.3115/1614049.1614072]
31. [31] S. H. Yella, V. Varma, and K. Prahallad, "Prominence based scoring of speech segments for automatic speech-to-speech summarization," in INTERSPEECH 2010, pp. 1297-1300.
32. [32] S. K. Jauhar, Y.-N. Chen, and F. Metze, "Prosody-Based Unsupervised Speech Summarization with Two-Layer Mutually Reinforced Random Walk," in IJCNLP, Nagoya, Japan, 2013, pp. 648-654.
33. [33] J. Zhang and H. Yuan, "Speech Summarization without Lexical Features for Mandarin Presenta-tion Speech," in IALP, Urumqi, China, 2013, pp. 147-150.
34. [34] X. Zhu, G. Penn, and F. Rudzicz, "Summarizing multiple spoken documents: finding evidence -from untranscribed audio," in ACL/IJCNLP, 2009, pp. 549-557.
35. [35] A. S. Park and J. R. Glass, "Unsupervised Pattern Discovery in Speech," IEEE Transac-tions on Audio, Speech & Language Processing, vol. 16, no. 1, pp. 186-197, 2008. [
DOI:10.1109/TASL.2007.909282]
36. [36] A. Jansen, K. Church, and H. Hermansky, "Towards spoken term discovery at scale with zero resources," in INTERSPEECH 2010, pp. 1676-1679.
37. [37] Y. Zhang, "Unsupervised Speech Processing with Applications to Query-by-Example Spoken Term Detection," PhD thesis, Department of Electrical Engineering and Computer Science, Massachusetts Institute of Technology, 2013.
38. [38] Y. Zhang and J. R. Glass, "Towards multi-speaker unsupervised speech pattern discovery," in ICASSP 2010, pp. 4366-4369.
39. [39] D. F. Harwath, "Unsupervised Modeling of Latent Topics and Lexical Units in Speech Audio," MSc thesis, Department of Electrical Engineering and Computer Science, Massachu-setts Institute of Technology, 2013.
40. [40] R. Mihalcea and P. Tarau, "TextRank: Bringing Order into Text," in EMNLP Barcelona, Spain, 2004, pp. 404-411.
41. [41] S. Maskey and J. Hirschberg, "Comparing Lexial, Acoustic/Prosodic, Discourse and Structural Features for Speech Summarization," in Eurospeech Lisbon, Portugal, 2005.
42. [42] H. S. Jafari and M. M. Homayounpour, "key pattern recognition from Persian speech signal without transcript," presented at the 19th National CSI Computer Conference, Shahid Beheshti University, Tehran, Iran, 2014.
43. [43] A. Blum and T. Mitchell, "Combining labeled and unlabeled data with co-training," in 11th Annual Conference on Computational Learning Theory, 1998, pp. 92-100. [
DOI:10.1145/279943.279962]
44. [44] S. A. Goldman and Y. Zhou, "Enhancing Supervised Learning with Unlabeled Data," in ICML, Stanford, CA, USA, 2000, pp. 327-334.
45. [45] B. B. Moghaddas, M. Kahani, S. A. Toosi, AsefPourmasoumi, and A. Estiri, "Pasokh: A standard corpus for the evaluation of Persian text summarizers," in ICCKE, Mashhad, Iran, 2013, pp. 471-475.
46. [46] DUC. (2013). http://duc.nist.gov/.
47. [47] C.-Y. Lin, "Rouge: A package for automatic evaluation of summaries. In Proceedings," in workshop on text summarization branches out, 2004, pp. 25-26.
48. [48] A. pourmasoomi, M. kahani, S. A. Toosi, and A. Estiri, "Ijaz: An Operational system for single-document summarization of Persian news texts," JSDP, vol. 11, no. 1, pp. 33-48, 2014.
49. [49] H. S. Jafari and M. M. Homayounpour, "Persian speech sentence segmentation without speech recognition," presented at the Iranian Conference on Intelligent Systems (ICIS), Bam, Kerman, 2014. [
DOI:10.1109/IranianCIS.2014.6802564]