2nd Workshop on Spoken Language Technologies for Under-Resourced Languages

Universiti Sains, Penang, Malaysia
May 3-5, 2010

Voice Aided Input for Phrase Selection using a Low Level ASR Approach – Application to French and Khmer Phrasebooks

Sereysethy Touch (1,2), Laurent Besacier (1), Eric Castelli (2), Christian Boitet (1)

(1) LIG-GETALP, Grenoble, France; (2) Centre MICA–HUT–CNRS/UMI2954, Hanoi, Vietnam

We report the ongoing results of an effort to embed a "light" ASR for a future smart-phone-based multimodal multilingual phrase-book which allows users to look for a sentence by simply pronouncing it. We compared a phoneme-based low level approach with a conventional word-based high level approach. The former approach has been found promising in terms of accuracy and performance in a restricted task-oriented domain suitable for handheld devices with low-resources. The experiments have been performed on both high- and under-resourced languages: French and Khmer.

Index Terms: Phrasebook, ASR, embedded system

Full Paper

Bibliographic reference.  Touch, Sereysethy / Besacier, Laurent / Castelli, Eric / Boitet, Christian (2010): "Voice aided input for phrase selection using a low level ASR approach – application to French and Khmer phrasebooks", In SLTU-2010, 111-115.