Laboratory of Computer and Information Science / Neural Networks Research Centre CIS Lab Helsinki University of Technology

TEEMU HIRSIMÄKI

Photo

Since October 2009, I have been working at Process Vision.

Publications

Journal papers

  1. Teemu Hirsimäki, Janne Pylkkönen and Mikko Kurimo. Importance of High-Order N-gram Models in Morph-Based Speech Recognition. IEEE Transactions on Audio, Speech and Language Processing, Volume 17, Number 4, May 2009, pp. 724-732. (available on publisher's page)
  2. Mathias Creutz, Teemu Hirsimäki, Mikko Kurimo, Antti Puurula, Janne Pylkkönen, Vesa Siivola, Matti Varjokallio, Ebru Arisoy, Murat Saraçlar and Andreas Stolcke. Morph-based speech recognition and modeling of out-of-vocabulary words across languages. ACM Transactions on Speech and Language Processing, Volume 5, Issue 1, Dec 2007. (available on publisher's page)
  3. Vesa Siivola, Teemu Hirsimäki, and Sami Virpioja. On Growing and Pruning Kneser-Ney Smoothed N-Gram Models. IEEE Transactions on Audio, Speech and Language Processing, Volume 15, Number 5, July 2007, pp. 1617-1624. (available on publisher's page)
  4. Teemu Hirsimäki, Mathias Creutz, Vesa Siivola, Mikko Kurimo, Sami Virpioja, Janne Pylkkönen. Unlimited vocabulary speech recognition with morph language models applied to Finnish. Computer Speech & Language, Volume 20, Issue 4, October 2006, pp. 515-541. (available on publisher's page)

Conference papers

  1. Teemu Hirsimäki and Mikko Kurimo. Analysing Recognition Errors in Unlimited-Vocabulary Speech Recognition. Proceedings of Human Language Technology, Conference of the North American Chapter of the Association for Computational Linguistics, HTL-NAACL, 2009, pp. 193-196.
  2. Teemu Hirsimäki. On Compressing N-gram Language Models. Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), April 15-20, 2007, Honolulu, Hawaii, USA, pp. IV-949-952. (pdf and the related bitlm software package)
  3. Mathias Creutz, Teemu Hirsimäki, Mikko Kurimo, Antti Puurula, Janne Pylkkönen, Vesa Siivola, Matti Varjokallio, Ebru Arisoy, Murat Saraclar, and Andreas Stolcke. Analysis of Morph-Based Speech Recognition and the Modeling of Out-of-Vocabulary Words Across Languages. To appear in the Proceedings of Human Language Technologies: The Annual Conference of the North American Chapter of the Association for Computational Linguistics (NAACL-HLT 2007), April, 2007, Rochester, NY, USA.
  4. Mikko Kurimo, Antti Puurula, Ebru Arisoy, Vesa Siivola, Teemu Hirsimäki, Janne Pylkkönen, Tanel Alumäe and Murat Saraclar. Unlimited vocabulary speech recognition for agglutinative languages, In Human Language Technology, Conference of the North American Chapter of the Association for Computational Linguistics, HLT-NAACL, June 5-7, 2006, New York, USA, pp. 487-494. (pdf)
  5. Teemu Hirsimäki, Mathias Creutz, Vesa Siivola and Mikko Kurimo: Morphologically Motivated Language Models in Speech Recognition, Proceedings of the International and Interdisciplinary Conference on Adaptive Knowledge Representation and Reasoning (AKRR05), June 15-17, 2005, Espoo, Finland, pp. 121-126. (ps)
  6. Teemu Hirsimäki and Mikko Kurimo: Decoder Issues in Unlimited Finnish Speech Recognition, Proceedings of the 6th Nordic Signal Processing Symposium (Norsig 2004), June 9-11, 2004, Espoo, Finland, pp. 320-323. (ps)
  7. Ata Kaban, Ella Bingham and Teemu Hirsimäki: Learning to read between the lines: The aspect Bernoulli model, Proceedings of the 4th SIAM International Conference on Data Mining (SDM04), April 22-24, 2004, Lake Buena Vista, Florida, pp. 462-466. (pdf)
  8. Vesa Siivola, Teemu Hirsimäki, Mathias Creutz and Mikko Kurimo. Unlimited Vocabulary Speech Recognition Based on Morphs Discovered in an Unsupervised Manner, Proceedings of the 8th European Conference on Speech Communication and Technology (Eurospeech 2003), Geneva, Switzerland, Sept. 2003, pp. 2293-2296. (ps)
  9. Vesa Siivola, Teemu Hirsimäki and Mikko Kurimo. Äännemallien vertailua jatkuvassa suuren sanaston puheentunnistuksessa. Fonetiikan päivät, Espoo, Finland, 2002, pp. 75-82. (ps)

Academic theses

  1. Teemu Hirsimäki. Advances in unlimited-vocabulary speech recognition for morphologically rich languages. PhD thesis. TKK Dissertations in Information and Computer Science. 2009. (available on TKK library pages)
  2. Teemu Hirsimäki. A decoder for large vocabulary continuous speech recognition. Master's thesis. Helsinki University of Technology. 2002. (ps)

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