Please use this identifier to cite or link to this item: http://scholarbank.nus.edu.sg/handle/10635/78296
Title: Probabilistic integration of partial lexical information for noise robust haptic voice recognition
Authors: Sim, K.C. 
Issue Date: 2012
Source: Sim, K.C. (2012). Probabilistic integration of partial lexical information for noise robust haptic voice recognition. 50th Annual Meeting of the Association for Computational Linguistics, ACL 2012 - Proceedings of the Conference 1 : 31-39. ScholarBank@NUS Repository.
Abstract: This paper presents a probabilistic framework that combines multiple knowledge sources for Haptic Voice Recognition (HVR), a multimodal input method designed to provide efficient text entry on modern mobile devices. HVR extends the conventional voice input by allowing users to provide complementary partial lexical information via touch input to improve the efficiency and accuracy of voice recognition. This paper investigates the use of the initial letter of the words in the utterance as the partial lexical information. In addition to the acoustic and language models used in automatic speech recognition systems, HVR uses the haptic and partial lexical models as additional knowledge sources to reduce the recognition search space and suppress confusions. Experimental results show that both the word error rate and runtime factor can be reduced by a factor of two using HVR. © 2012 Association for computational Linguistics.
Source Title: 50th Annual Meeting of the Association for Computational Linguistics, ACL 2012 - Proceedings of the Conference
URI: http://scholarbank.nus.edu.sg/handle/10635/78296
ISBN: 9781937284244
Appears in Collections:Staff Publications

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