| Paper: | SP-P12.9 | ||
| Session: | Acoustic Modeling: Model Complexity, General Topics | ||
| Time: | Thursday, May 20, 09:30 - 11:30 | ||
| Presentation: | Poster | ||
| Topic: | Speech Processing: Acoustic Modeling for Speech Recognition | ||
| Title: | PHONE DURATION MODELING FOR LVCSR | ||
| Authors: | Daniel Povey; IBM T. J. Watson Research Center | ||
| Abstract: | Modeling phone durations in a word-specific fashion has previously been shown to lead to improvements in LVCSR recognition performance. We report results on the Switchboard database which confirm that at least small improvements (around 0.2-0.3% absolute) can be obtained. The duration probabilities are applied to time-marked recognition lattices. Features of the system include a novel data-driven method for smoothing discrete distributions, and a form of discrete distribution which allows phone and word lengths to be modeled simultaneously within a consistent probabilitic framework. | ||
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