Please use this identifier to cite or link to this item: https://doi.org/10.1109/SLT.2010.5700825
Title: Haptic voice recognition: Augmenting speech modality with touch events for efficient speech recognition
Authors: Sim, K.C. 
Keywords: Haptic events
Multimodal interface
Voice recognition
Issue Date: 2010
Source: Sim, K.C. (2010). Haptic voice recognition: Augmenting speech modality with touch events for efficient speech recognition. 2010 IEEE Workshop on Spoken Language Technology, SLT 2010 - Proceedings : 73-78. ScholarBank@NUS Repository. https://doi.org/10.1109/SLT.2010.5700825
Abstract: This paper proposes the Haptic Voice Recognition (HVR), a multi-modal interface that combines speech and touch sensory inputs to perform voice recognition. These touch inputs form a series of haptic events that provide cues or 'landmarks' for word boundaries. These word boundary cues greatly reduce the search space for speech recognition, thereby making the decoding process more efficient and suitable for portable devices with limited compute and memory resources. Furthermore, having the knowledge of word boundaries also suppresses insertion and deletion errors. This is particularly helpful when recognition is performed in noisy environment. In this paper, a series of experiments were conducted to study the feasibility of augmenting touch events to automatic speech recognition and explore its potential benefits. Experiments were conducted with syntactically simulated haptic events on the Wall Street Journal database as well as realistic haptic events acquired using a prototype HVR interface implemented on a touchscreen device. ©2010 IEEE.
Source Title: 2010 IEEE Workshop on Spoken Language Technology, SLT 2010 - Proceedings
URI: http://scholarbank.nus.edu.sg/handle/10635/41895
ISBN: 9781424479030
DOI: 10.1109/SLT.2010.5700825
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