Seminar "Selected Topics in Human Language Technology and Pattern Recognition"

Registration for the seminar

Registration for the seminar is only possible online via the central registration page from Friday, Jan. 13 to Sunday, Jan. 29, 2017. A link can also be found on the Computer Science Department's homepage.

Prerequisites for participation in the seminar

• Bachelor students: Einführung in das wissenschaftliche Arbeiten (Proseminar)
• Master students: Bachelor degree
• Attendance of the lectures Pattern Recognition and Neural Networks, Speech Recognition or Statistical Methods in Natural Language Processing, or evidence of equivalent knowledge is highly recommended.
• For successful participants of the above lectures, seminar participation is guaranteed.
  

Seminar format and important dates

• Proposals: initial proposals will be accepted up until the start of the term's lecture period (April 18, 2017) by email to the seminar topic's supervisor. At this time, participants must arrange an appointment with the relevant supervisor. Revised proposals will be accepted up until two weeks after the start of the term.
• Article: PDF must be submitted at least 1 month prior to the trial presentation date by email to the seminar topic's supervisor.
  
• Presentation slides: PDF must be submitted at least 1 week prior to the trial presentation date by email to the seminar topic's supervisor.
  supervisor.
• Trial presentations: at least 2 weeks prior to the actual presentation date; refer to the topics section.
• Seminar presentations: presentations will be on Tuesdays from 14:15 to 17:15, starting on 20.06. Please refer to the list below for your estimated date of presentation.
• Final (possibly corrected) articles and presentation slides: PDF must be submitted at the latest 4 weeks after the presentation date by email to the seminar topic's supervisor.
• Compulsory attendance: in order to pass, participants must attend all presentation sessions.
• Ethical Guidelines:The Computer Science Department of RWTH Aachen University has adopted ethical guidelines for the authoring of academic work, such as seminar reports. Each student has to comply with these guidelines. In this regard, you, as a seminar attendant, have to sign a declaration of compliance, in which you assert that your work complies with the guidelines, that all references used are properly cited, and that the report was done autonomously by yourself. We ask you do download the guidelines and submit the declaration together with your seminar report and talk to your supervisor. You also find a German version of the guidelines and a German version of the declaration you may use as well.

Note: failure to meet deadlines, absence without permission from compulsory sessions (presentations and preliminary meeting as announced by email to each participating student), or dropping out of the seminar after more than 3 weeks after the preliminary meeting/topic distribution results in the grade 5.0/not appeared.

Topics, relevant references and participants

1. Introduction to Deep Learning
   
   
   1. Feedforward Deep Networks (Meiwes; Supervisor: Weiyue Wang)
      Initial References:
      
      • I. Goodfellow, Y. Bengio, A. Courville: Deep Learning, Book in preparation for MIT Press, Feb. 2016, Sec. 6.
      Estimated date for presentation: 20.06
   
   
   3. Practical Methodology (Coumbassa; Supervisor: Yunsu Kim)
      Initial References:
      
      • I. Goodfellow, Y. Bengio, A. Courville: Deep Learning, Book in preparation for MIT Press, Feb. 2016, Sec. 11.
      Estimated date for presentation: 20.06
   
   
   4. Representation Learning (Qiao; Supervisor: Oskar Koller)
      Initial References:
      
      • I. Goodfellow, Y. Bengio, A. Courville: Deep Learning, Book in preparation for MIT Press, Feb. 2016, Sec. 15.
      Estimated date for presentation: 27.06
   
   
2. Deep Learning for Speech Signal Processing
   
   
   5. ANN Supported Source Separation (Sklyar; Supervisor: Tobias Menne)
      Initial References:
      
      • John R. Hershey, Zhuo Chen, Jonathan Le Roux, Shinji Watanabee: "Deep Clustering: Discriminative Embeddings for Segmentation and Separation," IEEE Int. Conf. on Acoustics, Speech and Signal Processing (ICASSP), Shanghai, China, March 20-25, 2016.
      Estimated date for presentation: 27.06.
   
   
   
3. Deep Learning for Automatic Speech and Handwriting Recognition
   
   
   6. Acoustic Word Embeddings (Piunova; Supervisor: Eugen Beck)
      Initial References:
      
      • Chung, Y., Wu, C., Shen, C., Lee, H., Lee, L.: "Audio Word2Vec: Unsupervised Learning of Audio Segment Representations Using Sequence-to-Sequence Autoencoder", in Proc. Interspeech 2016, 765-769.
      • Kamper, Herman, Weiran Wang, and Karen Livescu: "Deep convolutional acoustic word embeddings using word-pair side information", Acoustics, IEEE International Conference on Speech and Signal Processing (ICASSP), 2016.
      Estimated date for presentation: 27.06.
   
   
   7. Multi Target Learning (Bozheniuk; Supervisor: Markus Kitza)
      Initial References:
      
      • Y. Shinohara: "Adversarial Multi-task Learning of Deep Neural Networks for Robust Speech Recognition", in Interspeech, 2016, pp. 2369-2372.
      • G. Pironkov, S. Dupont, and T. Dutoit: "Speaker-aware long short-term memory multi-task learning for speech recognition" in 2016 24th European Signal Processing Conference (EUSIPCO), 2016, pp. 1911-1915.
      Estimated date for presentation: 04.07
   
   
   8. ANN Based Feature Extraction (Györi; Supervisor: Pavel Golik)
      Initial References:
      
      • P. Golik, Z. Tueske, R. Schlueter, H. Ney: "Convolutional Neural Networks for Acoustic Modeling of Raw Time Signal in LVCSR,"Interspeech, pages 26-30, Dresden, Germany, September 2015.
      • Tara N. Sainath, Ron J. Weiss, Kevin W. Wilson, Arun Narayanan, Michiel Bacchiani, Andrew Senior: "Speaker Location and Microphone Spacing Invariant Acoustic Modeling From Raw Multichannel Waveforms" IEEE Automatic Speech Recognition and Understanding Workshop (ASRU), Scottsdale, AZ, USA, December 2015.
      Estimated date for presentation: 04.07
   
   
   
   
   

Guidelines for the article and presentation

• Online LaTeX-Documentation:

• LaTeX: "A document preparation system"
• LaTeX help 1.1
• The Not So Short Introduction to LaTeX
  
• LaTeX 2e for authors

• Document Templates:

• Article Template (51kB),  contains the template and all necessary files in tar format (or here 10kB in zip format).
• Presentation Slide Template (11.3MB), a zip file containing the template and all necessary graphics as well as the institute’s style template. Note: We deactivated the RWTH and i6 logos in this version of the template since the seminar content is produced by students outside of i6.

• Guidelines for articles and presentation slides:

• The aim of the seminar for the participants is to learn the following:
• to tackle a topic and to expand knowledge
• to critically analyze the literature
  
• to hold a presentation
  
• Take notice of references to other topics in the seminar and discuss topics with one another!
  
• Take care to stay within your own topic. To this end participants should be aware of the other topics in the seminar. If applicable, cross-reference other articles and presentations.
  

• Important: As part of the introduction, a slide should outline the most important literature used for the presentation. In addition, the presentation should clearly indicate which literature the particular elements of the presentation refer to.
  
• Take notice of references to other topics in the seminar and discuss topics with one another!
  
• Participants are expected to seek out additional literature on their topic. Assistance with the literature search is available at the faculty’s library. Access to literature is naturally also available at the Lehrstuhl Informatik 6 library.
• Notation/Mathematical Formulas: consistent, correct notation is essential. When necessary, differing notation from various literature sources is to be modified or standardized in order to be clear and consistent. The lectures held by the Lehrstuhl Informatik 6 should provide a guide as to what appropriate notation should look like.
  
• Tables must have titles (appearing above the table).
• Figures must have captions (appearing below the figure).
  
• The use of English is recommended and mandatory for the presentation slides. Nevertheless the article and oral presentation might be German.
  
• In the case that no adequate translation of an English technical term is available, the term should be used unchanged.
• Completeness: acknowledge all literature and sources.
  
• Referencing must conform to the standard described in the article template.
• Examples should be used to illustrate points.
• Examples should be as complex as necessary but as simple as possible.
• Slides should be used as presentation aids and not to replace the role of the presenter; specifically, slides should:
• illustrate important points and relationships;
• remind the audience (and the presenter) of important aspects and considerations;
  
• give the audience an overview of the presentation.
  
• Slides should not contain chunks of text or complicated sentences; rather they should consist of succinct words and terms.
• Use illustrations where appropriate - a picture says a thousand words!
• Abbreviations should be defined at the first usage in the manner demonstrated in the following example: "[...] at the Rheinisch-Westfälischen Technischen Hochschule (RWTH) there are [...]".
  
• Take care to stay within your own topic. To this end participants should be aware of the other topics in the seminar. If applicable, cross-reference other articles and presentations.
• Usage of fonts, typefaces and colors in presentation slides must be consistent and appropriate. Such means should serve to clarify points or relationships, not be applied needlessly or at random.
  
• Care should be taken when selecting fonts for presentation slides (also within diagrams) to ensure legibility on a projector even for those seated far from the screen.

Contact

Wilfried Michel
RWTH Aachen University
Lehrstuhl Informatik 6
Ahornstr. 55
52074 Aachen

Room 6129
Tel: 0241 80 21615

E-Mail: michel@cs.rwth-aachen.de

Last modified: 2017-06-19 14:28:41 Disclaimer.