Abstract
We propose an approach to improving the usability of an automatic speech recognition system in real time. We introduce the concept of an “uncertainty area” (UA): a time span within which the current recognition result may vary. By fixing the length of the UA we make it possible to start editing the recognized text without waiting for the phrase to end. We control the length of the UA by regularly pruning hypotheses using additional criteria. The approach was implemented in the software-hardware system for closed captioning of Russian live TV broadcasts.
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Merkin, N., Medennikov, I., Romanenko, A., Zatvornitskiy, A. (2014). Controlling the Uncertainty Area in the Real Time LVCSR Application. In: Ronzhin, A., Potapova, R., Delic, V. (eds) Speech and Computer. SPECOM 2014. Lecture Notes in Computer Science(), vol 8773. Springer, Cham. https://doi.org/10.1007/978-3-319-11581-8_19
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DOI: https://doi.org/10.1007/978-3-319-11581-8_19
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-11580-1
Online ISBN: 978-3-319-11581-8
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