Download e-book for iPad: Text, Speech and Dialogue: 14th International Conference, by Hynek Hermansky (auth.), Ivan Habernal, Václav Matoušek

By Hynek Hermansky (auth.), Ivan Habernal, Václav Matoušek (eds.)

ISBN-10: 3642235379

ISBN-13: 9783642235375

This booklet constitutes the refereed court cases of the 14th foreign convention on textual content, Speech and discussion, TSD 2011, held in Pilsen, Czech Republic, in September 2011.
The fifty three papers awarded including 2 invited talks have been rigorously reviewed and chosen from a hundred and ten submissions. the most subject of this year's convention was once "integrating glossy internet with speech and language technologies". This yr the 3rd overseas Workshop on Balto-Slavonic usual Language used to be affiliated to TSD. the current booklet comprises eight contributions from this workshop.

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Extra info for Text, Speech and Dialogue: 14th International Conference, TSD 2011, Pilsen, Czech Republic, September 1-5, 2011. Proceedings

Sample text

Time course of word identification and semantic integration in spoken language. J. Experimental Psychology: Learning, Memory, and Cognition 25(2) (1999) 5. : Speech perception and sensorineural hearing loss. , Giolas, G. ) Auditory Management of Hearing-Impaired Children, University Park, Baltimore, MD (1978) 6. : Mathematical treatment of context effects in phoneme and word recognition. J. Acoust. Soc. Am. 84(1), 101–114 (1988) 7. : The intelligibility of speech as a function of the context of the test material.

We are now interested in the quality of both human and automatic rankings. 8 0 2 4 6 8 10 12 14 number of key phrases considered human f x len tfidf x len KL Fig. 2. NDCG scores for lecture ahlct008 16 18 20 22 M. Gropp, E. N¨oth, and K. 8 0 2 4 6 8 10 12 14 16 18 20 number of key phrases considered human f x len tfidf x len KL Fig. 3. NDCG scores for lecture pslct009 To ensure a fair evaluation, we select one human rater’s relevance scores to calculate the NDCG scores for the remaining human and the automatic rankings.

We present an integrated web-based platform to help users find relevant sections within recorded lecture videos by providing them with a ranked list of key phrases. For a user-defined subset of these, a StreamGraph visualizes when important key phrases occur and how prominent they are at the given time. To come up with the best key phrase rankings, we evaluate three different key phrase ranking methods using lectures of different topics by comparing automatic with human rankings, and show that human and automatic rankings yield similar scores using Normalized Discounted Cumulative Gain (NDCG).

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Text, Speech and Dialogue: 14th International Conference, TSD 2011, Pilsen, Czech Republic, September 1-5, 2011. Proceedings by Hynek Hermansky (auth.), Ivan Habernal, Václav Matoušek (eds.)


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