Signal Processing - July 2017 - 127
Björn Schuller (schuller@ieee.org) received his diploma,
doctoral degree, and habilitation degree in electrical engineering
and information technology from the Technische Universität
München, Germany in 1999, 2006, and 2012, respectively. He is
a reader in machine learning in the Department of Computing at
Imperial College, London, United Kingdom, and a full professor and head of the Chair of Complex and Intelligent Systems,
University of Passau, Germany, where he previously headed the
Chair of Sensor Systems. He is a Senior Member of the IEEE.
References
[1] D. O'Shaughnessy, Speech Communications: Human and Machine, 2nd ed.
Piscataway, NJ: IEEE Press, 2000.
[2] F. Weng, P. Angkititrakul, E. E. Shriberg, L. Heck, S. Peters, and J. H. L.
Hansen, "Conversational in-vehicle dialog systems: The past, present, and future,"
IEEE Signal Process. Mag., vol. 33, no. 6, pp. 49-60, Nov. 2016.
[3] B. W. Schuller, "The computational paralinguistics challenge," IEEE Signal
Process. Mag., vol. 29, no. 4, pp. 97-101, July 2012.
[4] C. Moseley, Atlas of the World's Languages in Danger, 3rd ed. Paris: Unesco
Publishing, 2010.
[5] A. Halevy, P. Norvig, and F. Pereira, "The unreasonable effectiveness of data,"
IEEE Intell. Syst., vol. 24, no. 2, pp. 8-12, Mar. 2009.
[6] L. Deng and D. Yu, "Deep learning: Methods and applications," Foundations
and Trends in Signal Process., vol. 7, no. 3-4, pp. 197-387, June 2014.
[7] D. Amodei, R. Anubhai, E. Battenberg, C. Case, J. Casper, B. Catanzaro, J.
Chen, M. Chrzanowski, et al. "Deep speech 2: End-to-end speech recognition in
english and mandarin," in Proc. Int. Conf. Machine Learning (ICML), New York,
2016, pp. 173-182.
[8] L. R. Rabiner and B.-H. Juang, Fundamentals of Speech Recognition.
Englewood Cliffs, NJ: Prentice Hall, 1993.
[9] N. Dehak, P. J. Kenny, R. Dehak, P. Dumouchel, and P. Ouellet, "Front-end factor analysis for speaker verification," IEEE/ACM Trans. Audio, Speech, Language
Process., vol. 19, no. 4, pp. 788-798, May 2011.
[10] F. Eyben, F. Weninger, F. Gross, and B. Schuller, "Recent developments in
openSMILE, the Munich open-source multimedia feature extractor," in Proc. 21st
ACM Int. Conf. Multimedia, Barcelona, Spain, 2013, pp. 835-838.
[11] M. Harper. IARPA Babel program. Intelligence advanced research projects
activity, Office of the Director of National Intelligence, Washington, D.C. [Online].
Available: https://www.iarpa.gov/index.php/research-programs/babel
[12] B. W. Schuller, "Speech analysis in the big data era," in Text, Speech, and
Dialogue (Lecture Notes in Computer Science, vol. 9302), P. Král and
V. Matoušek, Eds. Berlin: Springer-Verlag, 2015, pp. 3-11.
[13] M. Versteegh, R. Thiollière, T. Schatz, X.-N. Cao, X. Anguera, A. Jansen, and
E. Dupoux, "The zero resource speech challenge 2015," in Proc. INTERSPEECH,
Dresden, Germany, 2015, pp. 3169-3173.
[14] M. R. Robertson. (2015, Nov. 13). 500 hours of video uploaded to YouTube
every minute. Tubular Insights. [Online]. Available: http://www.reelseo.com/
hours-minute-uploaded-youtube
[15] M. Eskénazi, G.-A. Levow, H. Meng, G. Parent, and D. Suendermann,
Crowdsourcing for Speech Processing: Applications to Data Collection,
Transcription and Assessment. Hoboken, NJ: Wiley, 2013.
[16] J. D. Williams, I. D. Melamed, T. Alonso, B. Hollister, and J. Wilpon, "Crowdsourcing for difficult transcription of speech," in Proc. IEEE Workshop on Automatic
Speech Recognition and Understanding (ASRU), Waikoloa, HI, 2011, pp. 535-540.
[17] Z. Zhang, E. Coutinho, J. Deng, and B. Schuller, "Cooperative learning and its
application to emotion recognition from speech," IEEE Trans. Audio, Speech,
Language Process., vol. 23, no. 1, pp. 115-126, Jan. 2015.
[18] Z. Zhang, Semi-Autonomous Data Enrichment and Optimisation for
Intelligent Speech Analysis. Munich, Germany: Verlag Dr. Hut, 2015.
[19] A. Nagórski, L. Boves, and H. J. Steeneken, "Optimal selection of speech data
for automatic speech recognition systems," in Proc. INTERSPEECH, Denver, CO,
2002, pp. 2473-2476.
[20] D. Wang and T. F. Zheng, "Transfer learning for speech and language processing," in Proc. Asia-Pacific Signal and Information Processing Assoc. Annu.
Summit and Conf. (APSIPA), Hong Kong, China, 2015, pp. 1225-1237.
[23] R. Snow, B. O'Connor, D. Jurafsky, and A. Y. Ng, "Cheap and fast-But is it
good? Evaluating non-expert annotations for natural language tasks," in Proc.
Conf. Empirical Methods Natural Language Processing (EMNLP), Honolulu, HI,
2008, pp. 254-263.
[24] S. Novotney and C. Callison-Burch, "Cheap, fast and good enough: Automatic
speech recognition with non-expert transcription," in Proc. Human Language
Technologies: 2010 Annu. Conf. North American Chapter Assoc. Computational
Linguistics, Los Angeles, 2010, pp. 207-215.
[25] S. Hantke, T. Appel, F. Eyben, and B. Schuller, "iHEARu-PLAY: Introducing
a game for crowdsourced data collection for affective computing," in Proc. Int.
Conf. Affective Computing and Intelligent Interaction (ACII), Xi'an, China, 2015,
pp. 891-897.
[26] A. Jansen, E. Dupoux, S. Goldwater, M. Johnson, S. Khudanpur, K. Church,
N. Feldman, et al. "A summary of the 2012 JHU CLSP workshop on zero resource
speech technologies and models of early language acquisition," in Proc. IEEE Int.
Conf. Acoustics, Speech and Signal Processing (ICASSP), Vancouver, Canada,
2013, pp. 8111-8115.
[27] G. Parent and M. Eskenazi, "Toward better crowdsourced transcription:
Transcription of a year of the Let's Go Bus Information System data," in Proc.
IEEE Spoken Language Technology Workshop (SLT), Berkeley, CA, 2010,
pp. 312-317.
[28] A. Tarasov, S. J. Delany, and C. Cullen, "Using crowdsourcing for labelling
emotional speech assets," in Proc. W3C workshop on Emotion Markup Language
(EmotionML), Paris, 2010, pp. 1-5.
[29] J. Ledlie, B. Odero, E. Minkov, I. Kiss, and J. Polifroni, "Crowd translator: On
building localized speech recognizers through micropayments," ACM SIGOPS
Operating Syst. Rev., vol. 43, no. 4, pp. 84-89, Jan. 2010.
[30] C-Y. Lee and J. R. Glass, "A transcription task for crowdsourcing with automatic quality control," in Proc. INTERSPEECH, Florence, Italy, 2011, pp. 3041-
3044.
[31] A. S. Park and J. R. Glass, "Unsupervised pattern discovery in speech," IEEE
Trans. Audio, Speech, Language Process., vol. 16, no. 1, pp. 186-197, Jan. 2008.
[32] K. Levin, K. Henry, A. Jansen, and K. Livescu, "Fixed-dimensional acoustic
embeddings of variable-length segments in low-resource settings," in Proc. IEEE
Workshop Automatic Speech Recognition and Understanding (ASRU), Olomouc,
Czech Republic, 2013, pp. 410-415.
[33] H. Wang, T. Lee, C. C. Leung, B. Ma, and H. Li, "Using parallel tokenizers
with DTW matrix combination for low-resource spoken term detection," in Proc.
IEEE Int. Conf. Acoustics, Speech and Signal Processing (ICASSP), Vancouver,
Canada, 2013, pp. 8545-8549.
[34] G. Mantena and X. Anguera, "Speed improvements to information retrievalbased dynamic time warping using hierarchical k-means clustering," in Proc.
IEEE Int. Conf. Acoustics, Speech and Signal Processing (ICASSP), Vancouver,
Canada, 2013, pp. 8515-8519.
[35] X. Anguera, "Method and system for improved pattern matching," EP Patent
EP12 382 508, 2012.
[36] Y. Chung, C. Wu, C. Shen, H. Lee, and L. Lee, "Audio Word2Vec: Unsupervised
learning of audio segment representations using sequence-to-sequence autoencoder,"
in Proc. INTERSPEECH, San Francisco, CA, 2016, pp. 765-769.
[37] H. Kamper, A. Jansen, and S. Goldwater, "Unsupervised word segmentation
and lexicon discovery using acoustic word embeddings," IEEE/ACM Trans. Audio,
Speech, Language Process., vol. 24, no. 4, pp. 669-679, Apr. 2016.
[38] Y. Zhang and J. R. Glass, "Towards multi-speaker unsupervised speech pattern discovery," in Proc. IEEE Int. Conf. Acoustics, Speech and Signal Processing
(ICASSP), Dallas, TX, 2010, pp. 4366-4369.
[39] C. Weng, D. Yu, S. Watanabe, and B.-H. F. Juang, "Recurrent deep neural networks for robust speech recognition," in Proc. IEEE Int. Conf. Acoustics, Speech
and Signal Processing (ICASSP), Florence, Italy, 2014, pp. 5532-5536.
[40] N. Jaitly and G. E. Hinton, "Vocal tract length perturbation (VTLP) improves
speech recognition," in Proc. ICML Workshop on Deep Learning for Audio, Speech
and Language, Atlanta, GA, 2013.
[41] X. Cui, V. Goel, and B. Kingsbury, "Data augmentation for deep neural network acoustic modeling," IEEE/ACM Trans. Audio, Speech Language Process.,
vol. 23, no. 9, pp. 1469-1477, Sept. 2015.
[42] Z. Tüske, P. Golik, D. Nolden, R. Schlüter, and H. Ney, "Data augmentation,
feature combination, and multilingual neural networks to improve ASR and KWS
performance for low-resource languages," in Proc. INTERSPEECH, Singapore,
2014, pp. 1420-1424.
[43] T. Ko, V. Peddinti, D. Povey, and S. Khudanpur, "Audio augmentation for speech
recognition," in Proc. INTERSPEECH, Dresden, Germany, 2015, pp. 3586-3589.
[21] S. J. Pan and Q. Yang, "A survey on transfer learning," IEEE Trans. Knowl.
Data Eng., vol. 22, no. 10, pp. 1345-1359, Oct. 2010.
[44] V. Peddinti, D. Povey, and S. Khudanpur, "A time delay neural network architecture for efficient modeling of long temporal contexts," in Proc. INTERSPEECH,
Dresden, Germany, 2015, pp. 3214-3218.
[22] L. Deng and X. Li, "Machine learning paradigms for speech recognition: An
overview," IEEE Trans. Audio, Speech, Language Process., vol. 21, no. 5, pp.
1060-1089, May 2013.
[45] B. Milde and C. Biemann, "Using representation learning and out-of-domain
data for a paralinguistic speech task," in Proc. INTERSPEECH, Dresden, Germany,
2015, pp. 904-908.
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Table of Contents for the Digital Edition of Signal Processing - July 2017
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